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Gpu Engineer Jobs in Virginia (NOW HIRING)

A solid understanding of GPU programming and parallel computing architectures * Understanding signal processing algorithms written in MATLAB * Parallelization of existing algorithms * Decomposing ...

GPU Software Engineer

Arlington, VA · On-site

$107K - $195K/yr

A solid understanding of GPU programming and parallel computing architectures * Understanding signal processing algorithms written in MATLAB * Parallelization of existing algorithms * Decomposing ...

GPU Software Engineer

Arlington, VA · On-site

$107K - $195K/yr

A solid understanding of GPU programming and parallel computing architectures * Understanding signal processing algorithms written in MATLAB * Parallelization of existing algorithms * Decomposing ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. * Contribute to the architecture and implementation of embedded systems programming ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. * Contribute to the architecture and implementation of embedded systems programming ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. * Contribute to the architecture and implementation of embedded systems programming ...

Computer Vision AI Engineer

Mclean, VA · On-site

$99K - $225K/yr

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications. * Contribute to the architecture and implementation of embedded systems programming ...

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Showing results 1-20

Gpu Engineer information

See Virginia salary details

$38.7K

$100.9K

$136.3K

How much do gpu engineer jobs pay per year?

As of Jul 29, 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 engineers make $300,000 a year?

Senior GPU engineers, especially those with extensive experience, advanced skills in graphics architecture, and expertise in programming languages like C++ and CUDA, can earn $300,000 or more annually. High-level roles in large tech companies or specialized fields such as AI and machine learning often offer compensation at this level, particularly with bonuses and stock options included.

What engineers make $200,000 a year?

Senior GPU engineers, especially those with extensive experience, advanced skills in graphics architecture, and proficiency with tools like CUDA or Vulkan, can earn $200,000 or more annually. High-level roles in large tech companies or specialized fields such as AI or data centers often offer such compensation packages.

What are the key skills and qualifications needed to thrive in the Gpu Engineer position, and why are they important?

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 and related hardware or software. They work on improving graphics performance, parallel processing, and computational efficiency, often using programming languages like C++ and tools such as CUDA or OpenCL. Their work supports applications in gaming, scientific computing, and machine learning.

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 engineer makes $500,000 a year?

Highly experienced GPU engineers working in top technology companies or specialized roles in graphics hardware development can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires advanced skills in hardware design, software optimization, and extensive industry experience.

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:
Infographic showing various Gpu Engineer job openings in Virginia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $100,879 per year, or $48.5 per hour.

GPU Software Engineer

Leidos

Arlington, VA

$107K - $195K/yr

Full-time

Retirement, PTO

Re-posted 16 days ago


Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 149 frontline employees who took The Breakroom Quiz

67th of 488 rated business services


Job description

Today, Electronic Warfare (EW) is a growing enterprise - protecting the warfighter and our national security against ever-adapting threats. Our division currently has an exciting opportunity for a Software Engineer to perform design, development, and hardware/software integration in Arlington, VA for the Electronic Warfare Division. Our division primarily focuses on research & development and advanced prototyping, transforming state of the art signal processing algorithms into real-time software systems.

The successful candidate will be responsible for designing and implementing real-time signal processing algorithms on GPUs.

The successful candidate will be responsible for:

  • Contributing to design and development of advanced systems as a part of multi-disciplinary teams. These teams are made up of other software team members and subject matter experts from the areas of systems engineering, hardware, firmware, machine learning, RF front end design, and signal processing.

  • Achieving key project/program objectives and deliverables for entire projects or processes spanning multiple technical areas and independently managing large projects or processes

  • A solid understanding of GPU programming and parallel computing architectures

  • Understanding signal processing algorithms written in MATLAB

  • Parallelization of existing algorithms

  • Decomposing complex signal processing chains into discrete components and kernels

  • Hand crafting bespoke CUDA kernels for high performance

  • Designing and implementing multi-threaded software architectures

  • Designing, implementing, and testing high speed data transfer / Latency codes

  • Designing, implementing, and testing real-time C/C++ software for multi-core systems running Linux or a real-time operating systems, such as VxWorks

  • Build software products that utilize third party mathematics and communication libraries

  • Interface communication standards / protocols such as TCP/IP, UDP, and DDS

  • Work with Linux operating system as well as experience with real-time operating systems

  • Designing, implementing, and testing software to configure and control RF hardware devices

  • Documenting the developed systems

  • Support system field testing and collection events

  • Must be willing to travel up to 10% of the time

At Leidos, we offer competitive benefits http://www.leidos.com/careers/pay-benefits, including 4 or more weeks Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in Electronic Warfare Technology!

The successful candidate will have the following education/experience:

  • Bachelor's Degree in Computer Engineering, Electrical Engineering, or Computer Science

  • 8+ years of software development experience, including strong experience in C/C++ software development

  • Experience with Government open architectures for real-time systems, such as Big Iron or Cobra

  • Experience with NVIDIA development and profiling tools and libraries, including Compute Sanitizer, NCU, cuBLAS, cuFFT, cuSOLVER, and cuRAND

  • Experience using version control (Subversion, GIT, etc.) and continuous integration software tools (Jenkins)

  • Must have active Secret level security clearance with the ability to obtain a TS/SCI.

Bonus education/experience:

  • Master's Degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent

  • Existing security clearance higher than the Secret level

  • Experience with Machine Learning and/or Artificial Intelligence algorithms and libraries, such as TensorFlow

  • Experience with MATLAB GPU coder tool

  • Experience with High Performance Computing including parallel and distributed computation

  • Experience with Model-Based Design code generation practices

  • Experience with cloud-based computing platforms, such as Amazon Web Services (AWS)

  • Experience with other programming languages such as Python and/or Java

NKE

ElectronicWarfare

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:June 8, 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 $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline onlyand 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.


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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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