GPU Software Engineer
$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 ...
$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 ...
$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 ...
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 ...
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 ...
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 ...
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 ...
... with engineering, construction, and IT teams. Responsibilities: * Manage end-to-end structured ... Interpret and implement cabling layouts for GPU and AI workloads, ensuring compliance with industry ...
... with engineering, construction, and IT teams. Responsibilities: * Manage end-to-end structured ... Interpret and implement cabling layouts for GPU and AI workloads, ensuring compliance with industry ...
We specialize in AI and GPU deployments, comprehensive data center support, IMAC services - desktop ... with engineering, construction, and IT teams. Responsibilities: * Manage end-to-end structured ...
We specialize in AI and GPU deployments, comprehensive data center support, IMAC services - desktop ... with engineering, construction, and IT teams. Responsibilities: * Manage end-to-end structured ...
We specialize in AI and GPU deployments, comprehensive data center support, IMAC services - desktop ... with engineering, construction, and IT teams. Responsibilities: * Manage end-to-end structured ...
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We specialize in AI and GPU deployments, comprehensive data center support, IMAC services - desktop ... with engineering, construction, and IT teams. Responsibilities: * Manage end-to-end structured ...
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 ...
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 ...
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 ...
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 ...
$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 ...
$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 ...
Chantilly, 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 ...
Chantilly, 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 ...
$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 ...
$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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
$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 ...
$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 ...
$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 ...
$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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
$38.7K - $47.5K
3% of jobs
$47.5K - $56.4K
3% of jobs
$56.4K - $65.3K
4% of jobs
$65.3K - $74.2K
7% of jobs
$74.2K - $83.1K
6% of jobs
$83.8K is the 25th percentile. Wages below this are outliers.
$83.1K - $91.9K
6% of jobs
The median wage is $99.9K / yr.
$91.9K - $100.8K
21% of jobs
$100.8K - $109.7K
4% of jobs
$115.4K is the 75th percentile. Wages above this are outliers.
$109.7K - $118.6K
29% of jobs
$118.6K - $127.4K
2% of jobs
$127.4K - $136.3K
13% of jobs
$38.7K
$100.9K
$136.3K
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.
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.
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.

$107K - $195K/yr
Full-time
Retirement, PTO
Re-posted 16 days ago
8.4
Based on 149 frontline employees who took The Breakroom Quiz
67th of 488 rated business services
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, 2026For 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.
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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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.
It services
10,000+ Employees
Reston, VA, US