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

Computer Vision AI Engineer

Mclean, VA ยท On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

Computer Vision AI Engineer

Mclean, VA ยท On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

Computer Vision AI Engineer

Mclean, VA ยท On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

Computer Vision AI Engineer

Chantilly, VA

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

Computer Vision AI Engineer

Mclean, VA ยท On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

Computer Vision AI Engineer

Mclean, VA

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

Computer Vision AI Engineer

Mclean, VA ยท On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

Computer Vision AI Engineer

Mclean, VA ยท On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

Computer Vision AI Engineer

Chantilly, VA ยท On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

Computer Vision AI Engineer

Mclean, VA ยท On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

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Showing results 1-20

Cuda Engineer Salary information

See Reston, VA salary details

$38K

$111.6K

$143K

How much do cuda engineer salary jobs pay per year?

As of Aug 17, 2026, the average yearly pay for cuda engineer salary in Reston, VA is $111,611.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,100.00 and $141,500.00 per year, depending on experience, location, and employer.

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

To thrive as a CUDA Engineer, you need strong programming expertise in C/C++, parallel computing concepts, and a solid understanding of GPU architecture, typically supported by a degree in computer science or a related field. Experience with NVIDIA CUDA toolkit, GPU profiling tools, and parallel computing frameworks is essential, and certifications in CUDA development can be advantageous. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this field. These skills and qualities are crucial for developing efficient, high-performance applications and collaborating on complex technical projects.

What is the average salary of a CUDA engineer?

The average salary of a CUDA Engineer in the United States typically ranges from $110,000 to $160,000 per year, depending on experience, location, and industry. CUDA Engineers with specialized skills in GPU programming and parallel computing are often in high demand, particularly in sectors such as artificial intelligence, high-performance computing, and graphics. Salaries may be higher in tech hubs like Silicon Valley or for engineers with advanced degrees and significant experience.

What are some common challenges faced by CUDA engineers when collaborating with cross-functional teams?

CUDA engineers often work closely with software developers, data scientists, and hardware engineers to optimize code for GPU acceleration. A common challenge is effectively communicating complex GPU programming concepts to team members who may not have a background in parallel computing. Additionally, integrating CUDA code into broader projects can require careful coordination to ensure compatibility and performance across different platforms. Overcoming these challenges often involves clear documentation, regular team meetings, and a willingness to provide technical guidance to colleagues.

What is the difference between Cuda Engineer Salary vs GPU Developer Salary?

AspectCuda Engineer SalaryGPU Developer Salary
Required CredentialsBachelor's or higher in Computer Science, Engineering, or related fields; knowledge of CUDA, parallel programmingBachelor's or higher in Computer Science, Software Engineering, or related fields; experience with GPU programming
Work EnvironmentResearch labs, tech companies, AI firms, hardware manufacturersSoftware development companies, gaming industry, AI and machine learning firms
Industry UsagePrimarily in high-performance computing, AI, and scientific researchIn gaming, visualization, AI, and software optimization

Both roles require expertise in GPU programming and similar educational backgrounds. Cuda Engineers focus more on developing and optimizing CUDA-based applications, while GPU Developers work broadly on GPU-accelerated software. Salary differences depend on experience, location, and industry demand, but both roles are highly valued in tech sectors leveraging GPU technology.

Are CUDA engineers in demand?

CUDA engineers are in high demand due to the growing use of GPU computing in fields like artificial intelligence, machine learning, and high-performance computing. Skills in CUDA programming, parallel processing, and related tools are highly sought after by technology companies and research institutions. The role often requires strong programming skills and knowledge of GPU architectures.

What does a CUDA engineer do?

A CUDA engineer develops software that leverages NVIDIA's CUDA platform to perform parallel processing on GPUs, optimizing high-performance computing tasks such as scientific simulations, machine learning, and graphics rendering. They typically have skills in C/C++, GPU architecture, and debugging tools, working in environments that require knowledge of parallel algorithms and hardware acceleration.

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

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

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

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

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

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

Senior CUDA C++ Software Engineer

Grey Matters Defense Solutions

Arlington, VA โ€ข On-site

$140K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 17 days ago


Job description

Position: Senior CUDA|C++ Software Engineer
Location: Arlington, VA
Clearance: TS/SCI
Grey Matters Defense Solutions, LLC is a specialized firm in software development, data analytics algorithms, and advanced remote sensing technologies, tailored to meet the complex demands of defense and intelligence sectors. Staffed by a diverse range of professionals-from senior-level experts from organizations like the Defense Intelligence Agency (DIA), National Reconnaissance Office (NRO), Defense Advanced Research Projects Agency (DARPA), and the U.S. Armed Forces, to recent graduates and military recruits. By integrating the skills of subject matter experts, analysts, software engineers, and data scientists, Grey Matters Defense Solutions, LLC delivers unique artificial intelligence algorithms and applications, positioning itself as a leader in innovative solutions for defense and intelligence.
Summary
The Senior CUDA/C++ Software Engineer designs, develops, and optimizes high-performance GPU-accelerated software solutions supporting advanced signal processing, RF exploitation, and SIGINT mission applications. This position focuses on building scalable, production-quality software using C++, CUDA, and NVIDIA GPU technologies to process large volumes of data in real-time or near-real-time environments.
The ideal candidate possesses deep expertise in modern C++ development, GPU architecture, CUDA optimization, and high-performance computing (HPC). Experience with DSP, RF signal processing, and SIGINT applications is highly desirable.
Minimum Qualifications
8+ years of professional software engineering experience. 5+ years of experience developing high-performance applications in C++. 3+ years of hands-on CUDA development experience in production environments. Experience optimizing applications for throughput, latency, memory utilization, and scalability. Experience developing software on Linux platforms.
CUDA and GPU Software Computing
Design, develop, and maintain GPU-accelerated applications using CUDA and modern C++. Develop custom CUDA kernels optimized for performance, scalability, and maintainability. Implement efficient memory management strategies utilizing shared memory, pinned memory, unified memory, and asynchronous transfers. Optimize GPU utilization through concurrency, streams, kernel fusion, and multi-GPU processing techniques. Integrate GPU-accelerated capabilities into larger software systems and mission applications.
High Performance Computing
Analyze and optimize application performance across CPU and GPU architectures. Profile applications using NVIDIA Nsight and related performance analysis tools. Identify and resolve bottlenecks related to memory bandwidth, kernel execution, synchronization, and data movement. Develop benchmark frameworks and performance regression testing capabilities.
Software Engineering
Develop clean, maintainable, and well-documented code using modern C++ standards. Participate in software architecture, design reviews, and code reviews. Build automated unit, integration, and performance testing frameworks. Support CI/CD pipelines and automated build environments. Collaborate with cross-functional engineering teams to deliver mission-critical software capabilities.
Education
Bachelor's degree or higher in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Physics, or a related STEM discipline.
Technical Skills
C++17/20 CUDA
Python
Linux Development Git
CUDA Kernel Development NVIDIA GPU Architecture CUDA Streams and Concurrency Memory Optimization
Multi-GPU Processing Nsight Profiling cuFFT
cuBLAS
Object-Oriented Design Design Patterns
Unit Testing CI/CD
Performance Benchmarking Software Architecture Digital Signal Processing RF Systems
IQ Data Processing SIGINT Applications
High-Performance Computing
Grey Matters Defense Solutions, LLC provides transformational leadership, building aware-winning teams and products. Grey Matters Defense Solutions' most valuable assets are the more than 60 + employees. Our employees have a depth of analytical knowledge which provides them with a deep understanding of managing and delivering products within government systems.
Salary Range: $140,000 - $190,000 + additional 25% of Salary into SEP and 25% into IBA
Grey Matters Defense Solutions, LLC offer a comprehensive benefits package including medical, dental, vision, life insurance, short-term, long-term disability, and voluntary benefits such as accident, hospital indemnity, and wellness benefits.
Additional Benefits:
  • 25% (of salary) employer contribution distributed monthly to your SEP IRA
  • Individual Benefit Account 25% (of salary to pay for medical insurance premiums and funded time off)
  • Employee assistance program
  • Employee discount
  • Health savings account
  • Referral program

Visit us at Grey Matters Defense Solutions
https://www.linkedin.com/company/grey-matters-defense-solutions/
"Know Your Rights: Workplace Discrimination is Illegal"
Questions contact: [email protected]
All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Grey Matters Defense Solutions, LLC participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.
Grey Matters Defense Solutions, LLC complies with the Colorado Artificial Intelligence Act (CAIA) and maintains policies, controls, and oversight practices designed to mitigate algorithmic discrimination, promote transparency, and ensure responsible use of AI systems in accordance with Colorado law.