1

Gpu Engineer Jobs in Virginia (NOW HIRING)

HPC Systems Engineer

Charlottesville, VA · On-site

$150K - $200K/yr

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

Software Engineer II

Herndon, VA · On-site

$100K - $137K/yr

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

Software Engineer II

Herndon, VA · On-site

$100K - $137K/yr

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 ... Requirements: * 8+ years in Pre-Sales / Systems Engineering supporting DoD or Intelligence ...

Architect AI-ready data platforms supporting GPU clusters, large-scale ingestion, and hybrid or air ... Requirements * 8+ years in Pre-Sales / Systems Engineering supporting DoD or Intelligence Community ...

... management, GPU computing, and high-speed networking. Do you have what it takes? * Active Top ... Bachelor's Degree in Computer Science, Engineering or related field. * Experience with NVidia, Cray ...

They are seeking a Senior Systems Engineer to serve as the technical lead for Defense Intelligence ... GPU clusters, large-scale ingestion, and hybrid or air-gapped deployments. • Lead discovery ...

AI Infrastructure Engineer

Chantilly, VA · On-site

$110K - $144K/yr

AI Infrastructure Engineer Top Secret or TS/SCI is required to start $200K to $250K Chantilly, VA ... Optimize GPU utilization, memory management, quantization, batching, and capacity planning to ...

... management, GPU computing, and high-speed networking. Do you have what it takes? * Active Top ... Bachelor's Degree in Computer Science, Engineering or related field. * Experience with NVidia, Cray ...

Overview VTG is seeking an Associate Software Engineer to work with our software for modeling ... Experience with CuPy or Numba for writing GPU kernels in Python * Experience with Python ...

Senior AI Engineer

Alexandria, VA · Hybrid

$131K - $237K/yr

As a Senior AI Engineer, you will : * Support the development and operationalization of AI and ... GPU inference optimization Preferred Qualifications: * Experience supporting military or ...

Overview VTG is seeking a an Associate Software Engineer to work with our software for modeling ... Experience with CuPy or Numba for writing GPU kernels in Python * Experience with Python ...

Associate Software Engineer

Manassas, VA · On-site

$75K - $110K/yr

Experience with CuPy or Numba for writing GPU kernels in Python * Experience with Python ... Required Qualifications: * Bachelor's in Computer Science, Data Engineering, or similar

Showing results 41-60

Gpu Engineer information

See Virginia salary details

$38.7K

$100.9K

$136.3K

How much do gpu engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for gpu engineer in Virginia is $100,879.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,300.00 and $115,500.00 per year, depending on experience, location, and employer.

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

To thrive as a GPU Engineer, you need strong knowledge of computer architecture, proficiency in C/C++, and experience with parallel programming models such as CUDA or OpenCL, along with a degree in computer science, electrical engineering, or a related field. Familiarity with debugging tools, driver development, performance profiling utilities, and hardware simulation platforms is typically required. Excellent problem-solving abilities, attention to detail, and effective teamwork and communication skills help distinguish top candidates. These skills ensure that GPU Engineers can develop high-performance solutions, efficiently troubleshoot hardware and software issues, and collaborate successfully in multidisciplinary environments.

What does a GPU engineer do?

A GPU Engineer designs, develops, and optimizes graphics processing units (GPUs) for applications like gaming, artificial intelligence, and high-performance computing. They work on hardware architecture, driver development, and parallel computing optimizations to maximize performance. GPU Engineers collaborate with software developers, hardware designers, and researchers to improve graphics rendering, machine learning acceleration, and computational efficiency.

What are some common challenges faced by GPU engineers, and how are they addressed?

GPU Engineers often face challenges such as optimizing code for maximum parallel efficiency, debugging complex hardware-software interactions, and keeping pace with rapidly evolving GPU architectures. Addressing these issues typically requires a combination of deep architectural understanding, use of specialized profiling and debugging tools, and ongoing collaboration with hardware, software, and QA teams. Many companies provide ongoing training and encourage knowledge sharing within engineering teams to help individuals stay current and effectively tackle new technical hurdles. Overcoming these challenges not only sharpens technical expertise but also opens doors for career growth into architect, team lead, or principal engineer roles.

What are the most commonly searched types of Gpu Engineer jobs in Virginia? The most popular types of Gpu Engineer jobs in Virginia are:
What are popular job titles related to Gpu Engineer jobs in Virginia? For Gpu Engineer jobs in Virginia, the most frequently searched job titles are:
Infographic showing various Gpu Engineer job openings in Virginia as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $100,879 per year, or $48.5 per hour.

HPC Systems Engineer

teKnoluxion

Charlottesville, VA • On-site

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Job description

OverviewHPC Systems EngineerLocation: Charlottesville, VA

Clearance Required:  Active TS (SCI eligibility) 

At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions. 

Do you want to join a team that is building tailored technical solutions to modernize our government's mission and our client's business?  Do you have a desire to change how people work?  Are you interested in helping to protect our nation's cyber interests? Join our growing team supporting the Army customer's mission as an HPC Systems Engineer.

ResponsibilitiesWhat you get to do every day:
  • Build, configure, and maintain secure HPC clusters for simulations, scientific computing, and GPU workloads
  • Collaborate with infrastructure teams on cluster platforms, including schedulers, provisioning systems, high-speed interconnects, and distributed nodes
  • Configure and manage job schedulers (Slurm, PBS) with queue setup, resource policies, and job optimization
  • Support containerized workloads (Docker, Podman, Singularity/Apptainer)
  • Assist with cluster provisioning, node management, and initial build-out, including scheduler configuration and validation
  • Troubleshoot hardware, OS, scheduler, networking, and high-performance interconnect issues (e.g., InfiniBand)
  • Integrate compute nodes and hardware into clusters
  • Develop automation and operational tools using Bash, Python, or similar scripting
  • Support authentication and access control via LDAP or Kerberos
  • Analyze performance and identify bottlenecks across compute, storage, and network layers for distributed workloads (MPI/OpenMP)
  • Support GPU-enabled environments and CUDA-based workloads
  • Coordinate with engineering teams to improve cluster performance, stability, and scalability
  • Maintain documentation for configurations, procedures, and troubleshooting
  • Provide technical guidance on HPC best practices for mission workloads
Qualifications

Clearance Required: Active TS clearance (with SCI Eligibility) and eligibility to obtain CI Poly **We are not able to upgrade or sponsor clearances**

Certification Required: Ability to obtain DoD 8140 (8570) IAT Level II certification

Education/Experience:

  • Requires Bachelor's degree in Engineering, Computer Science, or related STEM field (experience in lieu of degree)
  • 6+ years of experience administering Linux based systems in enterprise, research computing, or distributed compute environments, including configuration and troubleshooting of multi-node systems.
Required Skills:
  • Experience supporting distributed compute environments with workload schedulers (e.g., Slurm, PBS, Torque, Grid Engine)
  • Experience supporting multi-node compute environments or HPC clusters
  • Professional experience administering Linux systems via CLI (RHEL derivatives preferred)
  • Experience with scripting and automation (Bash, Python, or similar)
  • Experience troubleshooting server hardware, OS, and distributed computing systems
  • Familiarity with cluster networking and high-speed interconnects
  • Experience diagnosing performance issues across compute, networking, and storage layers
  • Strong troubleshooting and documentation skills

What is ideal?

  • Experience administering multi-node HPC clusters and supporting distributed workloads
  • Knowledge of parallel file systems (e.g., Lustre, BeeGFS, GPFS)
  • Experience with parallel computing frameworks (MPI, OpenMP)
  • Experience with configuration management tools (Ansible, Puppet)
  • Experience supporting GPU-enabled environments and CUDA workloads
  • Familiarity with hybrid HPC architectures (on-prem + cloud, e.g., AWS)
  • Experience supporting HPC systems in research, lab, or mission environments
  • Experience working in DoD or IC environments preferred
What you can expect from us
  • Recognizing great achievements do not go unnoticed by Bcore through service anniversaries, spot awards, and employee referral bonuses
  • You'll join a growing organization of passionate, top-shelf, IT engineering professionals with extensive experience in actively developing the technology revolution in the Intelligence community
  • The expected salary range within the Washington, DC metropolitan area is: $150,000-$200,200.00. Final compensation is unique to each individual and will be determined based on factors such as experience, education, geographic location, and contractual requirements. This is not a guarantee.
  • Benefits include Health/Dental/Vision, 401(k) match, Paid Time Off, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more.
BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.Employment Type: FULL_TIME