Ops And Product Jobs in Virginia

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role. MANTECH seeks a motivated, career and customer-oriented Software Development Project Manager to join our team in Herndon VA . As a Project Manager on our team, you will lead a team of a high-performing software developers supporting our customer's mission. Responsibilities include but are not limited to: - Identifying project needs and required tasks, organizing project activities for a prominent enterprise application, and managing project tasks and objectives to meet the customer mission. - Monitoring and maintaining system requirements from diverse groups of stakeholders, effectively communicating requirements to developers, and working with developers to deliver solutions while managing requirements documentation, timelines, and deliverables. - Engaging with Subject Matter Experts (SMEs) to ensure requirements are thoroughly and clearly defined and assessed. - Managing all project documentation to include meeting minutes, standards for quality, repeatability, and consistency. - Developing and maintaining positive relationships with mission partners. - Identifying, coordinating, and managing an ever-expanding and evolving set of needs with different stakeholders, groups, and offices to ensure goals and timelines can be met. - Communicating with customer and internal leadership to keep them aware of project status and obtaining approvals for project control gates/phases. Minimum Qualifications: - High School Diploma with 10+ years' experience in Project Management, System Engineering, or Project Integration - 5+ years' experience managing Software Development teams - Experience with Project Management tools such as Jira and Confluence - Experience with the Agile development process and serving as a Scrum Master Preferred Qualifications: - Bachelor's Degree in technical discipline - 5+ years supporting customers and programs in the IC Community - 5+ years of experience in a technical lead position - PMP or ITIL certification Clearance Requirements: - An active/current TS/SCI with Polygraph is required for this position Physical Requirements: Must be able to remain in a stationary position 50% of the time

Job Description At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care-and we bring those experiences with us to work in serving our millions of policyholders each day. We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism. Our four values guide our strategy, our decisions, and our interactions: - Make it human. We care about the people that make up our customers, colleagues, and communities. - Make it about others. We do what's best for our customers and collaborate to drive progress. - Make it happen. We work with intention toward a common purpose and forge ways forward together. - Make it better. We create fulfilling purpose-driven careers by learning from the world and each other. POSITION TITLE Senior Manager, Datacenter - Server Ops This role is not eligible for Sponsorship. POSITION LOCATION Richmond or Lynchburg VA A Hybrid schedule of both Remote and In-Office days is required. In office days are Tuesday, Wednesday and Thursday with working hours targeting our core business hours of 9am-5pm EST. YOUR ROLE Drive the end-to-end management of multi-site datacenter server hosting infrastructure (both physical and virtual) while Genworth is pursuing a rapidly developing modernization strategy. This leader ensures high availability, performance, and security of enterprise systems while spearheading our next generation of service delivery with a strong understanding of datacenter management, financial stewardship, and team leadership. The role balances strategic planning with hands-on oversight of operations across datacenter facilities and operations teams, aligning technology services with business needs. What you will be doing - Datacenter Operations: Oversee multi - site datacenter operations to ensure optimal performance, capacity, and 24/7 availability of critical physical and virtual server environments. Integrate and manage blending hosting solutions to meet scalability, resiliency, and flexibility goals in line with our enterprise strategy. - Service Delivery & Reliability: Develop and enforce operational procedures and best practices for server and virtualization platforms through a combination of system administrators and support staff, and automations. Monitor infrastructure health, maintain environmental conditions (power, cooling, etc.) in physical facilities, and implement capacity planning to prevent downtime and protect hardware. Ensure disaster recovery (DR) capabilities, backup processes, and business continuity plans are in place and regularly tested for all sites. - Security & Compliance: Enforce rigorous security controls and compliance with internal policies and industry regulations (e.g. SOC, ISO, NIST) across data center operations. Proactively manage risk by keeping infrastructure updated (patch management, vulnerability remediation) and aligning with enterprise IT governance and audit standards. - Vendor & Contract Management: Lead vendor selection, contracts, and relationships for hardware, software and select datacenter managed services. Team up with site director in negotiations and ensure external partners meet performance and cost expectations. Assist full-time employees in overseeing and managing 3rd party managed service engagements and contractors. - Financial Management (Budgets & FinOps): Manage budgets and 1 cost center cost center. including capacity forecasting, cost optimization, and financial reporting for data center and cloud services. Drive FinOps practices, instituting chargeback/show back models and cost transparency for resource usage to our internal customers. Identify opportunities for cost savings and ensure ROI on infrastructure investments. - Strategic Planning & Modernization: Shape the long-term hosting strategy, advising on modernization efforts (cloud migrations, colocation, platform upgrades). Collaborate with senior IT leadership and other teams on technology roadmaps (cloud adoption, automation, edge computing) to future-proof infrastructure while reducing enterprise risk. - People Leadership & Team Development: Lead and mentor a distributed team, potentially including subordinate managers and professionals. Set clear objectives, provide coaching, and foster a culture of excellence, collaboration, and continuous improvement. Ensure cross-training and development of staff to build organizational capability and operational resilience. Champion diversity, inclusion, and a high-performance team culture aligned with organizational values. What you bring - Education & Experience: Bachelor's degree in information technology, Computer Science, or 12+ years in IT infrastructure roles, with at least 5+ years in management of large-scale datacenter or cloud infrastructure operations. Demonstrated success overseeing multi-site datacenter operations . - Technical Expertise: Deep understanding of physical and virtual server infrastructure, enterprise operating systems (Windows, RHEL (Linux , connecting to an enterprise storage network (SAN), networking connectivity, and virtualization (VMware, Cisco UCS) in high-availability environments. Strong knowledge of disaster recovery, backup, and business continuity practices. Familiarity with IT security and compliance frameworks (e.g. NIST, PCI, SOX) and data protection standards in infrastructure services. - Financial & Vendor Management: Hands-on experience in budget planning and cost management for IT infrastructure, including forecasting and optimizing spending. Track record of managing vendor/partner contracts (e.g. co-lo facilities, hardware/software suppliers,) and holding them accountable to SLAs and performance targets. Experience working directly with providers or through a value-added reseller (VAR) - Leadership Skills: Strong leadership and team management abilities with experience leading technical teams (including managers-of-managers) in a fast-paced, mission-critical environment. Excellent communication and stakeholder management skills; able to convey complex technical issues to non-technical audiences and influence strategic decisions. Adept at decision-making, coaching talent, and driving cross-functional collaboration. Ability to manage and coordinate technical SMEs for core platforms and hands-and-feet teams. Support a shared responsibility model with other leaders maintaining other aspects of the datacenter. Preferred Experience & Certifications: - Master's degree in a relevant field (MBA or IT Management) is a plus. - Professional certifications such as ITIL, SAFE, PMP, TBM Practitioner are highly desirable. - Demonstratable experience with data center consolidations, migrations (site to site, physical to virtual(P2V), hyperconvergence ) , or large deployment administration is advantageous. - Prior proven success in implementing automation/orchestration tools (IaC, CI/CD) and IT service management processes to improve efficiency. Core Competencies & Leadership Attributes: - Strategic Vision & Innovation: Ability to define and execute datacenter modernization and migration strategies that align with business objectives, ensuring the organization's infrastructure is scalable, resilient, and future-ready. - Operational Excellence: Strong problem-solving and analytical skills with a continuous improvement mindset. Committed to high standards of service reliability, performance optimization, and risk management across all infrastructure operations. - Influential Leadership: Empathetic and decisive leader who mentors teams, fosters collaboration, and drives accountability. Excellent communication, able to partner with senior executives, cross-functional teams, and external providers to achieve common goals. ADDITIONAL INFORMATION National Range: $120,900 - $187,000 Disclaimer: This role is aligned to a national market-based pay range. Actual compensation will vary based on geographic location, experience, skills, and other job-related factors. In addition to base salary, this role is eligible to participate in a bonus incentive plan. Incentive compensation is based on individual and company performance and is not guaranteed. Employee Benefits & Well-Being Genworth employees make a difference in people's lives every day. We're committed to making a difference in our employees' lives. - Competitive Compensation & Total Rewards Incentives - Comprehensive Healthcare Coverage - Multiple 401(k) Savings Plan Options - Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!) - Generous Paid Time Off - Including 12 Paid Holidays . click apply for full job details

Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI)Overview Lead AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: - Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. - Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. - Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. - Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. - Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: - You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. - Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. - You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. - You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. - You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: - Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies - At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: - 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) - Experience designing, developing, delivering, and supporting AI services - Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang - Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost - Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Richmond, VA: $179,400 - $204,700 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: - Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. - Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. - Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. - Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. - Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: - You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. - Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. - You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. - You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. - You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: - Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies - At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: - 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) - Experience designing, developing, integrating, delivering, and supporting complex AI systems - Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders - Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang - Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost - Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production - Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: - Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. - Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. - Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. - Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. - Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: - You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. - Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. - You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. - You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. - You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: - Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies - At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: - 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) - Experience designing, developing, delivering, and supporting AI services - Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang - Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost - Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: - Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. - Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. - Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. - Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. - Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: - You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. - Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. - You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. - You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. - You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: - Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies - At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: - 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) - Experience designing, developing, delivering, and supporting AI services - Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang - Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost - Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI)Overview Lead AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: - Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. - Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. - Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. - Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. - Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: - You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. - Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. - You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. - You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. - You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: - Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies - At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: - 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) - Experience designing, developing, delivering, and supporting AI services - Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang - Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost - Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Richmond, VA: $179,400 - $204,700 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: - Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. - Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. - Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. - Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. - Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: - You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. - Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. - You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. - You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. - You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: - Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies - At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: - 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) - Experience designing, developing, integrating, delivering, and supporting complex AI systems - Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders - Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang - Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost - Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production - Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

National Radio Astronomy Observatory Title: Agile Product Owner - Monitor & Control Systems Location: NRAO Array Operations Center, PO Box 0, SOCORRO, New Mexico, United States of America - NRAO Headquarters, 520 Edgemont Rd, CHARLOTTESVILLE, Virginia, United States of America - 5651 Balloon Fiesta Pkwy, Albuquerque, NM 87113, USA - Green Bank Observatory, PO Box 2, GREEN BANK, West Virginia, United States of America Requisition Number: 197 Job Family: Software Engineer Pay Type: Salary Required Education: CPP Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is an exciting and prestigious research facility that plays a vital role in the study of the universe. The Observatory operates a variety of radio telescopes that span the globe, including the famous Very Large Array (VLA) in New Mexico, the Green Bank Telescope (GBT) in West Virginia, the Atacama Large Millimeter/submillimeter Array (ALMA) in Chile, and the Very Long Baseline Array (VLBA). These telescopes are among the most advanced in the world, allowing astronomers to explore the universe in unprecedented detail. In addition, the NRAO is undertaking several large projects, including the next generation Very Large Array (ngVLA) and Radar projects. NRAO is seeking a technically oriented Monitor & Control (M&C) Systems Product Owner to lead product strategy for the software systems that operate NRAO's world-class radio telescope facilities. M&C software products are the operational backbone of the Observatory: they integrate hardware and software for mechanical telescope controls, translate high-level observing parameters into real-time commands, and underpin science operations for the VLA, GBT, VLBA, ngVLA, and Radar programs. The successful candidate will bring deep familiarity with hardware-software integration in control systems environments, paired with the organizational and communication skills needed to translate complex technical requirements into a prioritized, actionable development roadmap. Using Agile/Scrum as a delivery framework, this role drives alignment between the software development teams and the scientists, engineers, and operations staff who depend on M&C products every day. The M&C Systems Product Owner will serve as the primary interface between the M&C software development team and a highly technical stakeholder community - including telescope engineers, observatory scientists, and operations staff - who have deep institutional knowledge of these systems. The M&C software team supports products spanning the entire Observatory portfolio, from legacy systems on established facilities to new development on ngVLA. To succeed in this role, the candidate must develop and maintain substantive knowledge of M&C system architectures, real-time control constraints, and hardware integration challenges. The Product Owner will translate that domain understanding into a clearly defined product backlog, collaborate with stakeholders to write meaningful user stories and acceptance criteria, and review completed work to ensure it meets real operational requirements. A working understanding of Agile frameworks and Scrum methodology is essential; Agile practice here is a means to deliver high-quality M&C software reliably, not an end in itself. This position will be located at one of the NRAO facilities in Charlottesville (VA), Socorro (NM), Albuquerque (NM) or Green Bank (WV). What You Will be Doing - Develops deep working knowledge of M&C system architectures, hardware-software integration challenges, and real-time control constraints, and uses that domain understanding to articulate a clear, credible product vision to software development teams working within a Scrum framework. - Engages deeply with a highly technical stakeholder community - including telescope engineers, observatory scientists, and operations staff - to translate complex M&C system requirements into well-defined user stories, acceptance criteria, and a clearly prioritized product backlog. - Prioritizes the product backlog by weighing scientific and operational value against technical risk, system dependencies, and engineering feasibility - making informed tradeoff decisions that reflect both stakeholder needs and M&C system realities. - Serves as the primary liaison between a skeptical, expert stakeholder community and the software development teams, earning trust through technical credibility and consistent follow-through on commitments; identifies and removes roadblocks that impede delivery of M&C system improvements. - Gathers and organizes operational feedback from scientists and engineers across multiple NRAO facilities to continuously refine the M&C product roadmap, ensuring development priorities stay aligned with real-world observatory needs as telescope programs evolve. - Reviews and accepts completed development work with sufficient technical depth to evaluate whether M&C system requirements have been correctly implemented, catching gaps before they reach operational systems. - Participates in Scrum ceremonies, as appropriate, including sprint planning, backlog refinement, reviews, and retrospectives, adapting Agile product owner practices to the realities of complex M&C system development without losing the benefits of iterative delivery. - Continuously evaluates Agile product backlog definition to improve requirements and story effectiveness, always in service of delivering better M&C software - not process for its own sake. - Proactive compliance with NRAO and government safety policies and procedures in own work area is expected. - Other duties as assigned. Work Environment The successful candidate will join a team of professionals engaged in research and development in the fields of science, engineering, software development, and education. Work is typically performed in a research or development environment. Who You Are: - Bachelor's degree in computer science, electrical engineering, physics, astronomy, or a related technical field, or equivalent combination of education and experience. At least four years of combined experience in control systems, hardware-software integration, or scientific software development - including at least two years in a Product Owner, technical lead, or systems engineer role responsible for defining and managing requirements. - Active certification as a Certified Scrum Product Owner (CSPO), Advanced Certified Scrum Product Owner (A-CSPO), or equivalent Agile credential preferred. Candidates who demonstrate strong Agile practice through direct experience but lack formal certification are encouraged to apply; NRAO will support certification upon hire. - Demonstrated hands-on background with control system software products that integrate hardware and software - such as SCADA systems, telescope control systems, industrial automation, or similarly complex real-time hardware-software environments. This is a core requirement, not a nice-to-have. - Expertise using Atlassian tools, including Jira and Confluence, to manage backlogs and team workflows. - A passion for Agile and Scrum practices and a dedication to inspiring continuous improvement across teams. - Demonstrated ability to craft a clear product vision and roadmap that aligns with long-term organizational goals. - Expertise in prioritizing user stories based on value, technical dependencies, and stakeholder needs. - Ability to navigate complex stakeholder relationships and balance competing demands while maintaining buy-in across the organization. - Technical depth sufficient to engage credibly with M&C software engineers on system architecture, hardware interfaces, and implementation tradeoffs - not just to relay requirements, but to participate meaningfully in technical conversations about feasibility and risk. - Experience working with large, long-lived software systems - particularly operational or legacy systems where stability, reliability, and backward compatibility are as important as new feature delivery - in a distributed team environment. - Excellent interpersonal skills, with the proven ability to establish and maintain working relationships with a wide range of people and personality types. - Excellent verbal and written communication skills, and the ability to communicate comfortably and effectively with software engineers, scientists, and senior managers. Competency Summary - Advanced degree in computer science, electrical engineering, physics, astronomy, or a related technical discipline. - Background that includes Physics or Mathematics. - Prior experience as a software developer, systems engineer, or technical lead on control systems or hardware-integrated software; familiarity with C++ or Python in a scientific or real-time systems context is a strong plus. - Experience supporting scientific operations in radio astronomy or related fields. - Substantial experience developing or supporting hardware-software integration in domains such as telescope control, industrial automation, embedded systems, or scientific instrumentation. - Familiarity with basic astronomical principles, in particular radio astronomy, and observatory operations. - Ability to work with international colleagues and across geographically distributed teams. Additional Requirement Observatory employees must be authorized to work in the United States . click apply for full job details

Req Id: 172 Job Title: Senior Technical Program Manager Location: Herndon, VA - Herndon, VA 20171 US (Primary) Job Description: Fibertek is a recognized industry leader in developing and delivering mission critical laser based technologies included in next generation military and space missions. We are expanding our team and seeking several Senior Technical Program Managers (Sr. TPMs) to lead programs across our diverse portfolio of laser systems, lidar sensors, and laser communications technologies. Program opportunities range from $5M to greater than $100M. The Sr. TPM is a hands on, technically adept program leader who thrives in a fast paced R&D environment. In this role, you will serve as the primary customer interface, leading multidisciplinary teams of engineering and operations staff and working directly with NASA and major aerospace and defense partners. You will be responsible for ensuring that each program assigned meets its scope, schedule, cost, and performance objectives while maintaining the technical excellence Fibertek is known for. Beyond program execution, the Sr. TPM plays a key role in strategic growth initiatives, contributing to proposals, shaping new collaborations, and supporting the evolution of Fibertek's technology roadmap. Essential Duties and Responsibilities: - Lead cross-functional teams of scientists, engineers, and manufacturing personnel to achieve program success. - Develop enduring customer relationships by serving as the primary customer interface, fostering collaboration and ensuring clear, transparent communication. - Develop and maintain comprehensive program plans aligned with customer work statements and technical specifications. - Oversee the end-to-end development lifecycle of complex active electro-optical systems, from design through delivery. - Proactively identify, mitigate, and communicate technical, cost, and schedule risks; develop risk mitigation plans and execute recovery plans as needed. - Forecast program resource requirements, including technical workforce, facilities, and equipment needs. - Provide executive-level briefings on program health, milestones, and challenges. - Generate customer proposals to support follow on efforts and to recover unplanned cost or scope increases, ensuring programs remain on track. - Partner with business leaders to define growth opportunities and beneficial internal investments, contribute to proposals, and engage with key customers. Job Requirements: Experience and Expertise Required: - Proven success managing R&D programs from $5M - $100M+ in the aerospace and defense sector with full accountability for cost, schedule, and technical performance. - US Citizen and eligibility to obtain a US Security Clearance - Strong written and verbal communication and documentation skills - Excellent customer interfacing skills - Familiarity with expectations and collaboration in the context of typical Government development contracts, including organizations such as NASA, US Government defense organizations, and/or aerospace Prime Contractor mission partners - Ability to apply experience in Aerospace and Defense to lasers and lidar systems - Additional expertise in engineering systems and components for aerospace and defense missions a plus - Bachelors (Master's or PhD degree preferred) in a relevant engineering or applied-science field - Direct experience with systems engineering, optical or laser system development, and high-reliability aerospace programs - EVM experience preferred, including integrated baseline development and monthly statusing Salary Range: The annual base salary range for this position is $175,000-$250,000. This range reflects the compensation Fibertek reasonably expects to offer for this role. Placement within the range will depend on factors such as the scope and responsibilities of the position, the candidate's experience, education and training, key skills, and relevant market and business considerations. PIa6e6663be2f4-5867

Position Title: Aviation Security Specialist (Cyber and Counter-UAS) City: Tysons (McLean) State: VA Country: US Type: 4 (Exempt, Bargaining Unit 1 (EB) # of Openings: 1 Category: Engineering & Air Safety - Pilot Training & Qualification Specialist Company Name: Air Line Pilots Association, Int'l., Tysons (McLean), Virginia, United States Description: Aviation Security Specialist (Cyber and Counter-UAS) The Air Line Pilots Association, International (ALPA) , the largest airline pilot union in the world and the largest non-governmental aviation safety organization in the world (representing over 80,000 pilots at 42 U.S. and Canadian airlines) seeks an experienced Security Specialist for our Tysons (McLean), Virginia office. With a focus on the policy areas related to cybersecurity and counter-UAS for civil aviation, the including various government and industry working groups that are developing industry standards, policy, and regulatory recommendations for cybersecurity and counter-UAS (C-UAS), as well as aviation jumpseat. Additionally, the Security Specialist will become knowledgeable in other security-related policy areas, including risk-based screening, FFDOs, inflight security, Rap Back, and insider threat(s) to provide back up and overlap with the Aviation Security Specialist. The Security Specialist effectively represents the Association and the department, interacting with government and industry security officials on a routine basis, advocating on behalf of the Association's priorities from a policy perspective. In coordination with relevant ALPA committees and staff members, they develop and coordinate written communications to membership, government, and industry groups outlining ALPA positions on a wide variety of security issues, including cybersecurity and C-UAS. Travel: 5% - 15%; sporadically, could be as much as 25% of the time. ALPA is an equal opportunity employer that is committed to diversity and inclusion in a safe workplace. We prohibit discrimination, harassment and harmful behavior of any kind based on race, color, sex, religion, sexual orientation, national origin, gender identity, caste, disability, genetic information, pregnancy, or other protected characteristics as outlined in federal or provincial laws. We highly value everyone and all are encouraged to apply, including minorities, veterans, and people with disabilities. This position is covered by a collective bargaining agreement. ALPA is a member-driven, staff supported, union with two internal professional unions. Minimum Requirements: - Bachelor's Degree in Cybersecurity or related field, including aviation security or Unmanned Aircraft Systems, from an accredited college or university required; or, the equivalent combination of education and practical experience. - Three (3) years of experience with aviation cybersecurity and/or counter-UAS technologies. - Demonstrated knowledge and understanding of US and Canadian civil aviation operations desired, with a focus on airline operations preferred. - Understanding of new entrants' challenges and issues, air traffic control, the airline industry; airline pilots; and, the laws and regulations that affect the security and the industry strongly preferred. - Familiar with Unmanned Aircraft Systems (UAS) rules and policies strongly preferred. - Experience engaging with federal advisory committees, aviation rulemaking committees, and/or international aviation organizations (ICAO, IFALPA) preferred. - Sound judgment and analytical thinking, with the ability to distill complex technical and regulatory information into clear, actionable recommendations for leadership. - Strong technical writing skills are required, and public speaking skills are beneficial. - Excellent interpersonal and communication skills, oral and written, for effective interaction with all levels of contacts, internal and external. - Ability to collaboratively work in multi-disciplined team. - Must be a self-starter with professional maturity and sound judgment, capable of independent decision-making and to be proactive in identifying and responding to issues and problems. - Must possess exceptional time management skills; be able to work in a fast-paced, multi-tasking environment; and transition easily between projects. - Software: Microsoft Word, Outlook, Excel, and PowerPoint; experience with collaborative platforms and virtual meeting technologies. Physical Demands: Note: The physical demands described herein are characteristic of those that must be met to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals to perform the essential physical activities of this position described below. Constantly operates a computer/smartphone/tablet. Regularly required to maintain a stationary position; move about the office and the local metropolitan area; determine what others have said or written; and, converse with others and exchange accurate information. Regularly required to sit, stand, bend, reach, and move about the office and travel (locally, nationally, and internationally). May also include occasional bending, stooping, squatting, and/or pushing and pulling or moving, e.g., to pack, unpack, and/or move cases. Occasionally required to move, raise, reach, and/or retrieve binders, books, boxes, and files up to ten (10) pounds (lbs.). While on travel, could be responsible to move, raise, reach, and/or retrieve luggage weighing as much as 50 lbs. (Assistance may not always be available.) ALPA offers competitive salaries with terrific benefits, including: - 401k Plan with Non-Elective Employer Contribution of 12% plus 2% contribution into a Market-Based Cash Balance Plan (MBCBP) after 180 days of employment. No employee contribution required! Employees can choose to make pre-tax, Roth, and after-tax contributions to the 401(k). The plan permits in-plan Roth conversions and has a 4-year vesting schedule. The MBCBP has a 3-year cliff vesting period; - Generous health care benefits on day one - Aetna PPO Plan, Aetna High Deductible Health Plan, and a Kaiser HMO Plan (where available), which includes coverage for medical, dental, and vision benefits for the employee, their spouse, and/or dependent children. Employees do not have to pay premiums if they enroll in the Aetna High Deductible Health Plan or the Kaiser HMO Plan; - days paid vacation and holidays per year plus 2 volunteer days per year; - Generous sick and bereavement leave; - Competitive parental leave; - Company-paid coverage for long term disability, life insurance, and accidental death & dismemberment; - Flexible Spending and Health Savings accounts; - Retiree health plan and a retiree health account (retiree HRA). Funds in the retiree health account can be used to pay for eligible medical expenses in retirement; - Education Assistance Program that reimburses 100% of eligible expenses; - Optional benefits include a legal plan, supplemental life insurance, college 529 plan, pet insurance, long term care insurance, and qualified transportation fringe benefits (where available); and, - Partial remote work opportunities are available after six months of service. PROJECTED ANNUAL SALARY RANGE: $ 97,948.00 - $ 139,923.00 Relocation not provided. Sponsorship not available for this position. PM19 Compensation details: 23 Yearly Salary PI-6665

Description: About Us Cerapedics is a global, commercial-stage orthopedics company that is dedicated to redefining the path to bone repair by healing bones faster and at higher rates, so all patients can get back to living their fullest lives. Bone grafts, including Cerapedics' products, are used in over four million annual spine, orthopedics, trauma, and interventional procedures worldwide. Cerapedics has two drug-device products approved by the FDA powered by Cerapedics' proprietary P-15 Osteogenic Cell Binding Peptide: PearlMatrix Bone Graft for all major lumbar interbody surgical approaches and i-FACTOR Bone Graft for single-level anterior cervical discectomy and fusion (ACDF) in the cervical spine. Cerapedics is headquartered in Westminster, Colorado. OVERVIEW Healing lives through bone repair - this mission is what inspires us every day. If that is inspiring to you as well, consider joining us as a Clinical Sales Representative. In this role, you will contribute to our mission through building strong relationships with surgeons, residents/fellows, distributors, and hospital stakeholders to execute account strategies, maximize portfolio adoption, and support account growth, penetration and revenue recognition. As a Clinical Sales Representative working on the Sales team, you will be empowered through meaningful work and career development to execute coordinated strategies that accelerate growth, protect key accounts, and expand adoption across the market. Please not that we are seeking candidates around the Baltimore/Washington DC metro area. POSITION OBJECTIVES: Clinical Expertise & Surgeon Engagement - Provide OR support, clinical expertise, and product education for surgeons, HCP & distributors. - Lead early adoption efforts by driving surgeon evaluations, first-use conversions, and ongoing in-servicing. - Answer questions related to biologics/bone grafting techniques and competitive differentiation. - Support VAC submissions, evaluations, and hospital approvals as needed to enable adoption and access. Account Activation & Growth - Prospect and convert new and underpenetrated accounts to expand regional coverage and utilization. - Execute account-level strategies to increase adoption and sustained use of the Cerapedics portfolio. - Identify early clinical opportunities and communicate insights and barriers to the RSM and Area Director/Area Vice President. - Build and maintain strong surgeon relationships to support repeat use, long-term adoption, and account growth. Collaboration with RSM & Distributors - Partner with RSMs on account strategy, targeting, and regional priorities. - Support distributors through clinical education, OR presence, and case coverage to increase pull-through and consistency. - Ensure all field activities align with regional goals and coordinated commercial execution. Planning, Reporting & Professional Development - Maintain accurate forecasting, call notes, and pipeline tracking in CRM. - Participate in business reviews and contribute to account planning discussions. - Represent Cerapedics at selected MedEd programs, regional training, and professional meetings. - Continuously develop clinical expertise and market knowledge. Requirements: POSITION REQUIREMENTS: - Strong scientific and clinical communication skills. - Ability to influence surgeon decision-making and support reproducible adoption of the Cerapedics portfolio. - Effective business planning, territory management, and account growth strategy. - Strong collaboration skills with RSMs, distributors, and hospital teams. - Persistent, adaptable, highly self-directed, and relationship focused. - Proficiency in Microsoft Office and CRM tools. EDUCATION AND PREFERRED TRAINING REQUIREMENTS: - Bachelor's degree required, science major preferred. - Minimum 5+ years of experience in spine, biologics, or surgical devices. - Demonstrated success in OR support, surgeon engagement, and clinical selling. - Strong clinical credibility and confidence working in the OR environment. WORK CONDITION/PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodation may be made when requested by the employee to enable individuals with disabilities to perform the essential functions. - This position requires the incumbent to regularly utilize written and verbal communication skills, including active listening and speaking clearly and concisely. - This position requires the incumbent to experience periods of prolonged sitting and to occasionally stand, walk, carry items, climb, reach, and lift up to 20 lbs. - This position requires the incumbent to operate office equipment such as telephones, computers, fax machines, copiers, and to grasp objects utilizing manual dexterity including hand/finger coordination. TRAVEL REQUIREMENTS: 50% on average but up to 75% at times. BENEFITS/COMPENSATION (including, but not limited to): - Medical, vision, and dental insurance, group life insurance , 401k matching, short- & long-term disability, potential target bonus, paid time off, 11 paid holidays. SALARY RANGE: $84,000-$105,000 Base Salary: Annually Target Bonus: Generous Sales Bonus Target Position will be posted through September 6, 2026 EEO STATEMENT: Cerapedics is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. Compensation details: 00 Yearly Salary PI4c011efeb67b-0460

Position Title: Director of Technology Sales and Sourcing Location: In-person - Chantilly, Virginia Reports To: EVP of ITAD Employment Type: Full-Time, On-site Role About Securis Securis is a fast-growing, mission-driven IT Asset Disposition (ITAD) company built on a foundation of integrity, innovation, and service. Guided by Christian values, we are committed to serving our employees, clients, and partners with the same honesty, accountability, and compassion that Jesus modeled for His people. Our team is close-knit, collaborative, and driven by both high performance and meaningful purpose. As we scale toward our goal of $25 million in revenue by 2030, Securis is investing in building a best-in-class ITAD operation that maximizes asset value and drives growth in the secondary market. With increasing demand for refurbished technology and strong market tailwinds, Securis is positioned for significant expansion. We are seeking high-performing individuals who are ready to win in a competitive market, build strong networks, and drive measurable revenue impact from day one. Our Core Focus and Values: At Securis, our Core Focus is to serve employees, clients, and vendors like Jesus served His People. Our Core Values guide our work, our culture, and our success: Helps First: Put the team first. Fun: Have the right attitude and stay positive. Hungry: Have big goals and want to conquer the world. Humbly Confident: Be humble and also be confident. Work-Life Harmony: Both are important and must be in balance. Coachable: Always learning. Innovative: Question everything. Look for new ways. Benefits: We offer a competitive compensation package, including: Competitive base salary + commissionsHealth, Vision, and Dental Insurance401K 8 Paid Holidays3 Weeks Paid Time Off (PTO) Position Summary The Director of Technology Sales and Sourcing is the executive leader responsible for the entire revenue engine of the ITAD division. Reporting directly to the ITAD EVP, you will sit on the divisional leadership team and own the Asset Acquisitions & Sales function on our Accountability Chart. This role requires a highly strategic visionary who understands the full lifecycle of secondary-market IT hardware. You are the architect of our arbitrage and remarketing engine. You will dictate our sourcing strategy to buy the right equipment, and you will design our omnichannel distribution strategy to sell it through the most profitable avenues. A major focus of this role will be spearheading the strategic expansion of our direct-to-consumer (DTC) digital brand, particularly through a comprehensive evolution of our Shopify platform. You will Lead, Manage, and hold Accountable (LMA) a core team, while actively designing and building out the future organizational structure required to scale the division. What You Will Do: Departmental Leadership Lead, coach, and develop the Asset Acquisition and Sales team, including the Sr. ITAD Buyer, E-commerce Manager/ITAD Support, and ITAD E-commerce Listers.Build a high-performing team by recruiting, hiring, developing, and retaining top talent as the department grows.Establish clear goals, performance expectations, and accountability while fostering a culture of collaboration, continuous improvement, and operational excellence.Evaluate organizational needs and recommend changes to team structure, roles, and responsibilities to support business growth.Develop, document, and continuously improve cross-functional processes that align with ITAD Operations, Technology Support, and other departments to maximize efficiency and scalability. Digital Brand & E-Commerce Strategy Lead the growth and evolution of Securis' direct-to-consumer (DTC) e-commerce business, continuously improving the Shopify platform to enhance the customer experience, increase conversions, and drive revenue.Develop and execute strategies to expand Securis' presence across online marketplaces, including Amazon, eBay, Back Market, and emerging sales channels.Optimize product listings, pricing, merchandising, and digital marketing initiatives to maximize sales performance and profitability.Strengthen the Securis digital brand by delivering a consistent, high-quality customer experience that builds trust, encourages repeat business, and supports long-term growth.Evaluate new technologies, platforms, and market opportunities that expand Securis' online reach and competitive position. Pricing & Profitability Develop pricing strategies and decision frameworks that maximize the value of inbound IT assets across retail, e-commerce, wholesale, and broker channels.Determine the most profitable sales channel for each asset by balancing gross margin, inventory velocity, and market demand.Review and approve high-value purchases and sales to ensure transactions meet profitability objectives.Monitor secondary-market trends and adjust purchasing strategies, pricing, and inventory allocation to remain competitive and maximize returns.Analyze market conditions, product demand, and pricing data to support informed buying and selling decisions. Business Development Develop and execute sourcing strategies that drive the acquisition of high-value IT assets aligned with market demand and company objectives.Partner with the Sr. ITAD Buyer to identify high-demand asset categories and implement targeted sourcing initiatives through enterprise clients, brokers, and strategic partners.Build and strengthen relationships with key suppliers, wholesale buyers, brokers, and strategic vendors to expand sourcing opportunities and increase sales.Identify and develop new business opportunities that support long-term revenue growth and expand Securis' market presence.Lead negotiations and oversee high-value purchasing and sales opportunities to maximize profitability and strengthen strategic partnerships. What You'll Bring : Required Qualifications 7-10+ years of progressive leadership experience in IT Asset Disposition (ITAD), e-commerce, IT hardware sales, secondary market electronics, or a related industry.Proven success leading and growing e-commerce operations, including direct-to-consumer (DTC) websites and online marketplaces.Strong understanding of IT hardware valuation, secondary markets, wholesale distribution, and multi-channel sales strategies.Demonstrated experience leading, developing, and growing high-performing sales, purchasing, or e-commerce teams.Experience creating and implementing business strategies that drive revenue growth, improve profitability, and increase operational efficiency.Strong financial and analytical skills with the ability to make data-driven decisions regarding purchasing, pricing, inventory, and sales.Excellent communication, negotiation, and relationship-building skills with customers, suppliers, and strategic partners. Preferred Qualifications Experience with Shopify or Shopify Plus.Experience selling through Amazon, eBay, Back Market, or other online marketplaces.Experience working within the Entrepreneurial Operating System (EOS/Traction).Bachelor's degree in Business, Marketing, Supply Chain, Finance, or a related field. Join Us: If you're a strategic leader with a passion for building high-performing teams, growing e-commerce and sales operations, and maximizing the value of IT assets, Securis offers the opportunity to make a lasting impact. Join us as we continue to build a best-in-class ITAD organization. Learn more about our mission and how we serve our clients, employees, and communities at . PI6fedd35d0ee2-6031

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role. MANTECH seeks a motivated, career and customer-oriented Program Manager- Cyber to join our team in the Chantilly, VA area. The role of the Program Manager- Cyber is to direct, manage, and administer the accomplishment of all aspects of the SOW to ensure completion of all program activities within. Minimum Qualifications: - Bachelor's degree in a related technical field (Science, Technology, Engineering, and Mathematics). - Experience with cyber defense - 10+ years of experience - At least 5 years of recent and relevant experience as a Program Manager for a large (>150 FTE), complex IT program within the intelligence community. - Exceptional communication skills. - Ability to engage with customers at all levels. Preferred Qualifications: - Advanced degrees and certifications are desired. Examples of certifications are: Active Project Management Institute Project Management Project Professional certification architectures and operations - Experience within the NRO and mission partners - Experience with cyber defense - Experience supporting business development and growth initiatives Security Clearance Requirements: - Must have a current/active TS/SCI w/ Polygraph Physical Requirements: - Must be able to be in a stationary position more than 25% of the time. - Must be able to communicate, converse, and exchange information with peers and senior personnel. - Constantly operates a computer and other office productivity machinery, such as a computer. - Must be able to travel.