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Gpu Jobs in Virginia (NOW HIRING)

Senior Systems Engineer

Arlington, VA · On-site

$131K - $237K/yr

  • Medical

  • Retirement

  • PTO

Broad understanding of GPU-enabled systems architecture and engineering, including GPU integration, virtualization, Multi-Instance GPU (MIG), and associated software stacks. * Experience with ...

Senior Computer Systems Engineer

Arlington, VA · On-site

$131K - $237K/yr

  • Medical

  • Retirement

  • PTO

Broad understanding of GPU-enabled systems architecture and engineering, including GPU integration, virtualization, Multi-Instance GPU (MIG), and associated software stacks.Experience with creating ...

Senior Computer Systems Engineer

Arlington, VA · On-site

$131K - $237K/yr

  • Medical

  • Retirement

  • PTO

Broad understanding of GPU-enabled systems architecture and engineering, including GPU integration, virtualization, Multi-Instance GPU (MIG), and associated software stacks. * Experience with ...

Senior Systems Engineer

Arlington, VA · On-site

$131K - $237K/yr

  • Medical

  • Retirement

  • PTO

Broad understanding of GPU-enabled systems architecture and engineering, including GPU integration, virtualization, Multi-Instance GPU (MIG), and associated software stacks.Experience with creating ...

Data Center Deployment Lead I

Dulles, VA · On-site

$80K - $87K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Who we are At Introl, we specialize in large-scale GPU cluster deployments, managing up to 100,000 of the most advanced GPUs available. Our experienced team works with leading-edge technology ...

... GPU clusters, large-scale ingestion, and hybrid or air-gapped deployments. • Lead discovery sessions, whiteboarding, POVs, benchmarks, and classified briefings. • Partner with defense SIs and ...

Architect AI-ready data platforms supporting GPU clusters, large-scale ingestion, and hybrid or air-gapped deployments. * Lead discovery sessions, whiteboarding, POVs, benchmarks, and classified ...

Software Engineer II

Herndon, VA · On-site

$100K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Develop scalable distributed training infrastructure using AWS services, including SageMaker and EC2 GPU instances. * Engineer data pipelines for curating, annotating, and transforming geospatial ...

Architect AI-ready data platforms supporting GPU clusters, large-scale ingestion, and hybrid or air-gapped deployments. * Lead discovery sessions, whiteboarding, POVs, benchmarks, and classified ...

Architect AI-ready data platforms supporting GPU clusters, large-scale ingestion, and hybrid or air-gapped deployments. * Lead discovery sessions, whiteboarding, POVs, benchmarks, and classified ...

Software Engineer II

Herndon, VA · On-site

$100K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Develop scalable distributed training infrastructure using AWS services, including SageMaker and EC2 GPU instances. * Engineer data pipelines for curating, annotating, and transforming geospatial ...

HPC Systems Engineer

Charlottesville, VA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Support GPU-enabled environments and CUDA-based workloads * Coordinate with engineering teams to improve cluster performance, stability, and scalability * Maintain documentation for configurations ...

HPC Systems Engineer

Charlottesville, VA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Support GPU-enabled environments and CUDA-based workloads * Coordinate with engineering teams to improve cluster performance, stability, and scalability * Maintain documentation for configurations ...

HPC Systems Engineer

Charlottesville, VA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Support GPU-enabled environments and CUDA-based workloads * Coordinate with engineering teams to improve cluster performance, stability, and scalability * Maintain documentation for configurations ...

Experience with CuPy or Numba for writing GPU kernels in Python * Experience with Python's multiprocessing library * Experience with shell scripting languages VTG's estimated starting pay range is ...

The ideal candidate will bring deep technical expertise in large-scale HPC environments, cluster management, GPU computing, and high-speed networking. Do you have what it takes? * Active Top Secret ...

Experience with CuPy or Numba for writing GPU kernels in Python * Experience with Python's multiprocessing library * Experience with shell scripting languages VTG's estimated starting pay range is ...

Showing results 21-40

Gpu information

What is the difference between Gpu vs Data Scientist?

AspectGpuData Scientist
Required CredentialsKnowledge of parallel computing, programming skills (CUDA, OpenCL)Degree in Computer Science, Statistics, or related fields; programming skills
Work EnvironmentHardware-focused, technical, often in R&D or engineering teamsData analysis, modeling, research in various industries
Industry UsageTech, gaming, AI, machine learningFinance, healthcare, tech, marketing

Gpu specialists focus on hardware and parallel processing for computing tasks, while data scientists analyze data to extract insights. Both roles require technical skills, but Gpu roles are more hardware-oriented, whereas data scientists focus on data analysis and modeling.

What is a GPU engineer?

A GPU job refers to a computing task that utilizes a Graphics Processing Unit (GPU) for acceleration. GPUs are specialized processors designed for parallel processing, making them ideal for tasks like machine learning, scientific simulations, and rendering. Many software applications offload intensive computations to GPUs to improve performance and efficiency. Jobs related to GPUs can involve programming, optimization, and hardware configuration in fields like AI, gaming, and data analysis.

What are the key skills and qualifications needed to thrive as a GPU engineer?

To thrive as a GPU Engineer, you need a solid background in computer engineering, mathematics, and programming languages such as C++ or CUDA, often supported by a relevant degree. Familiarity with GPU architectures, parallel computing frameworks, and tools like OpenCL or Vulkan is typically required. Analytical thinking, problem-solving, and teamwork are essential soft skills for innovating and debugging complex systems. These abilities are crucial for optimizing performance, ensuring compatibility, and driving advancements in graphics and computational workloads.

What is a GPU?

A GPU, or Graphics Processing Unit, is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images and graphics for display. While originally developed for rendering graphics in video games and visual applications, GPUs are now widely used for parallel processing tasks in areas such as artificial intelligence, data science, and scientific computing. Their architecture allows them to handle thousands of operations simultaneously, making them much faster than traditional CPUs for certain workloads.

What are some common challenges faced by GPU engineers when optimizing performance for various applications?

GPU engineers often encounter challenges such as balancing high computational throughput with power efficiency, ensuring compatibility across different hardware architectures, and optimizing code for parallel processing. They must also troubleshoot bottlenecks in memory bandwidth and latency that can impact performance. Collaboration with software developers and hardware architects is crucial to identify and resolve these issues, and staying updated with the latest advances in GPU technologies is essential for continued success.

What are the most commonly searched types of Gpu jobs in Virginia?

The most popular types of Gpu jobs in Virginia are:

What are popular job titles related to Gpu jobs in Virginia?

For Gpu jobs in Virginia, the most frequently searched job titles are:

Infographic showing various Gpu job openings in Virginia as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, 1% Temporary, and 2% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution.

Senior Systems Engineer

Leidos

Arlington, VA • On-site

$131K - $237K/yr

Full-time

Medical, Retirement, PTO

Re-posted yesterday


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

79th of 492 rated business services


Job description

Description

Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path.

Leidos has an exciting opening for you as our next TS/SCI Senior Systems Engineer supporting DIA’s National Digital Exploitation and OSINT Center (NDOC) (formerly NMEC) under our 10-year DOMEX Technology Platform (DTP) contract. Have impact as part of a mission focused, solutions oriented, and adaptive team that values innovation, collaboration, and professional development. As the Senior System Engineer, you will perform and manage the full spectrum of systems engineering tasks to include requirements analysis, feature, system and interface design, system integration, system testing, and all associated documentation. You will also take on the role as a scrum master to lead a software development team while managing risks, escalating impediments, and helping to drive continuous process improvement. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. Percentage of remote work will vary based on client requirements/deliverables.

As a senior member of the team, you bring deep expertise in Systems Engineering (SE) and will work closely with Systems Engineers, Software Engineers, Architects as well as Government counterparts on the following key tasks:

  • Technical support, coordination, and execution of systems engineering activities such as feature/requirements analysis, design, implementation planning, integration and test, sustainment, documentation, deployment, and system assessment
  • Perform systems engineering tasks within time-boxed (e.g., Agile) sprints and releases. Support sprint and release planning activities as well as the creation of and/or input to work tickets (e.g., Gitlab issues) as well as program/system documentation using collaboration software (e.g., Gitlab
  • Help to define processes for technical platforms, system specifications, input/output and working parameters for hardware and/or software compatibility
  • Assist in establishing SE processes and tools to accomplish analysis, problem diagnosis and solution design, integration and test preparation, risk assessment and mitigation planning, and related activities
  • Manage a scrum team performing development activities across the microservices and support system architectures

You are rigorous while having the ability to work well with people from different disciplines with varying degrees of technical experience. You bring leaderships skills and enthusiasm and meet the following qualifications:

  • BS in Engineering, Computer Science, Systems Engineering, or related field or equivalent experience with 12+ years in software development, system engineering or related field. Additional experience in lieu of degree.
  • Must have an active Top Secret/SCI security clearance with the ability to obtain and maintain Polygraph
  • Broad understanding of GPU-enabled systems architecture and engineering, including GPU integration, virtualization, Multi-Instance GPU (MIG), and associated software stacks.
  • Experience with creating design packages and workflows
  • Experience in writing technical solutions and whitepapers
  • Experience implementing key Agile processes and techniques
  • Experience with facilitating scrum for the team (Planning, Retrospective, Grooming & Review/Demo)
  • Experience with Gitlab (workflow), JIRA, Confluence, or similar tools
  • Excellent verbal and written communication skills

You will wow us even more if you have some of these skills:

  • Software development/coding experience with programming languages such as Python, Java, and React
  • Experience with database systems, search engines, model view controller (MVC); web applications
  • Experience in a Red Hat, Centos or Oracle Linux
  • Familiarity DGX (Deep GPU Xceleration)
  • Experience with big data applications
  • Scaled Agile Framework certification (SAFe Agilist or other)
  • Familiarity with continuous integration/continuous development tools (Jenkins, Bamboo, or equivalent)

DTP

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:July 27, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $131,300.00 - $237,350.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.


What Leidos employees say

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Benefits

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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