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Gpu Engineer Salary Jobs in Reston, VA (NOW HIRING)

GPU Software Engineer

Arlington, VA ยท On-site

$107K - $195K/yr

A solid understanding of GPU programming and parallel computing architectures * Understanding ... salary. Additional factors considered in extending an offer include (but are not limited to ...

GPU Software Engineer

Arlington, VA ยท On-site

$107K - $195K/yr

A solid understanding of GPU programming and parallel computing architectures * Understanding ... salary. Additional factors considered in extending an offer include (but are not limited to ...

GPU Software Engineer

Arlington, VA ยท On-site

$107K - $195K/yr

A solid understanding of GPU programming and parallel computing architectures * Understanding ... salary. Additional factors considered in extending an offer include (but are not limited to ...

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Gpu Engineer Salary information

See Reston, VA salary details

$40.6K

$105.9K

$143.1K

How much do gpu engineer salary jobs pay per year?

As of Aug 21, 2026, the average yearly pay for gpu engineer salary in Reston, VA is $105,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,400.00 and $121,200.00 per year, depending on experience, location, and employer.

What is the average salary of a GPU engineer?

The average salary of a GPU engineer in the United States typically ranges from $110,000 to $170,000 per year, depending on factors such as experience, education, location, and the company. Entry-level GPU engineers may start at a lower salary, while those with several years of experience or working at top tech firms can earn significantly more. Additional compensation such as bonuses, stock options, and benefits may also be included in the total compensation package.

What factors can influence the salary of a GPU engineer?

The salary of a GPU Engineer can vary based on several factors including years of experience, level of education, and the specific industry or company. Professionals working for large technology firms or semiconductor companies often command higher salaries, especially if they possess expertise in advanced GPU architecture or parallel computing. Geographic location also plays a significant role, with positions in major tech hubs such as Silicon Valley typically offering higher compensation. Additionally, skills in popular programming languages (like CUDA or OpenCL) and experience with machine learning or AI projects can further boost earning potential.

What are the key skills and qualifications needed to thrive as a GPU engineer, and why are they important?

To thrive as a GPU Engineer, you need a strong background in computer engineering or computer science, with expertise in GPU architectures, parallel programming, and low-level programming languages such as C/C++. Familiarity with tools and frameworks like CUDA, OpenCL, and hardware description languages, as well as experience with performance profiling systems, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills set top candidates apart. These skills and qualities are crucial for designing, optimizing, and troubleshooting high-performance GPUs that power modern computing and graphics applications.

What is the difference between Gpu Engineer Salary vs Hardware Engineer Salary?

AspectGpu Engineer SalaryHardware Engineer Salary
Average Annual Salary$110,000 - $150,000$85,000 - $125,000
Required CredentialsBachelor's or Master's in Computer Engineering, Electrical Engineering, or related fieldsBachelor's or Master's in Electrical, Computer, or Mechanical Engineering
Work EnvironmentTech companies, R&D labs, semiconductor firmsElectronics manufacturing, tech companies, R&D labs
Industry UsageDesigning and optimizing GPU hardware and softwareDesigning and testing electronic hardware components

Gpu Engineers and Hardware Engineers share similar educational backgrounds and work environments, but Gpu Engineers focus specifically on GPU hardware and software optimization, often earning higher salaries due to specialized skills in graphics processing and parallel computing.

How much do GPU engineers make?

GPU engineers typically earn a salary ranging from $80,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in graphics processing, hardware design, or parallel computing can command higher compensation, often exceeding $180,000.

What does a GPU engineer do?

A GPU engineer designs, develops, and optimizes graphics processing units and related hardware or software. They work on improving graphics performance, parallel processing, and may use programming languages like C++ and CUDA, often collaborating with hardware teams and testing with simulation tools. Their role requires strong knowledge of computer architecture and graphics APIs such as DirectX or Vulkan.

What are popular job titles related to Gpu Engineer Salary jobs in Reston, VA?

For Gpu Engineer Salary jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Gpu Engineer Salary jobs in Reston, VA look for?

The top searched job categories for Gpu Engineer Salary jobs in Reston, VA are:

What cities near Reston, VA are hiring for Gpu Engineer Salary jobs?

Cities near Reston, VA with the most Gpu Engineer Salary job openings:

Graphics Processing Unit (GPU) Engineer - TS/SCI

Sunayu

Bethesda, MD โ€ข On-site

$149K - $185K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Job description

Location: Bethesda, MD

Category: Systems Engineering
Travel Required: No
Remote Type: No
Clearance: TS/SCI 


Sunayu, LLC is looking for a highly skilled Systems Engineer with deep expertise in operating systems, hardware, GPU, and high-speed networking.  In this role, you will design, develop, and optimize GPU clusters that power enterprise AI for the mission customers.


This is a 100% on-site position. 


Responsibilities:

GPU Cluster Engineering: Design, configure, and maintain GPU Clusters. Collaborate with a multidisciplinary team to define and optimize architectures, ensuring they meet performance, power efficiency, and feature requirements.
Operating System Integration: Work closely with AI/ML engineers to ensure smooth GPU integration with Linux-based systems. Optimize GPU drivers for compatibility, reliability, and performance. Provide regular maintenance and updates.

Performance Optimization: Analyze GPU performance, identify bottlenecks, and develop strategies to improve efficiency across hardware and software layers.

Tooling and Automation: Build and maintain debugging tools, profiling utilities, and performance analysis software for Linux environments. Leverage scripting and configuration tools such as Bash, Python, Ansible, Puppet, and Salt.
Compliance & Documentation: Maintain technical documentation, architectural specifications, and Linux best practices. Support ATO (Authority to Operate) and ensure compliance with federal security standards.


You Bring

Bachelor's or higher degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field with at least 12 years of related technical experience. Additional years of experience may be considered in lieu of a degree.
10+ years of relevant systems engineering experience
Experience in managing NVIDIA GPU data center platforms. (DGX, HGX, H200, H100, L4s).
Knowledge of enterprise server components (storage/network controllers, HBA, SSDs).
Strong expertise with Linux distributions. (RHEL, Ubuntu, Oracle, and Rocky).
Excellent problem-solving skills and the ability to collaborate within a team.
Candidate must, at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP).


Clearance

Active TS/SCI clearance with Polygraph required OR active TS/SCI and willingness to obtain and maintain a Poly.
US Citizenship is required due to the nature of the government contracts we support.



Preferred Qualifications

Experience with Kubernetes cluster management and AI/ML workflow orchestration (Argo, Airflow, and Kubeflow).
Familiarity with GPU virtualization and cloud computing.
Experience with Prometheus/Grafana for monitoring.
Knowledge of distributed resource scheduling systems (Slurm (preferred), LSF, etc.).




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Who We Are 

Sunayu, LLC serves as a premier technology partner to the Defense and Intelligence communities, delivering mission-critical engineering solutions across the nation. Our operations are anchored in a commitment to trust, accountability, and ethical transparency, ensuring the high-performance outcomes necessary to protect our country's most vital interests. 


Culture

Our strength lies in our community: Our team prioritizes collaboration, professional growth, and encourages open communication. At Sunayu, we don't just secure the mission—we grow together.


Career Development

We support and encourage our team members to continue their professional growth by providing company-reimbursed training and continuing education of up to $5,000 per year. We also participate in many industry conferences and events where we share our expertise and experiences.


Pay Rate

Salary range considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills, as well as market and business considerations when extending an offer.


Benefits

  • 3 Medical Plan Options
  • Dental and Vision 
  • FSA, DCFSA, HSA
  • Life/AD&D Insurance
  • Short-Term & Long-Term Disability 
  • Employee Assistance Program (EAP)
  • Training and Educational Assistance
  • Paid Time Off (PTO)
  • 11 Federal holidays 
  • 401k plan with up to a 6% match (100% immediate vesting) 


Equal Opportunity Employer

Sunayu, LLC is an Equal Opportunity/Affirmative Action Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability status, marital status, genetic information, medical condition, or any other characteristic protected by law.