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Cuda Engineer Jobs in Virginia (NOW HIRING)

Axon

Senior C++ Software Engineer

Sterling, VA

This position offers the opportunity to deepen your expertise in parallel processing and high-performance computing, with exposure to CUDA programming, positioning you at the forefront of ...

Axon

Senior C++ Software Engineer

Sterling, VA · On-site

Your Impact We are seeking an innovative C++ Developer to join our team focused on enhancing ... Familiarity with CUDA, GPU acceleration, or high-performance computing a plus. * Strong background ...

VTG

High-Performance Computing Engineer

Mclean, VA

Experience with NVidia, Cray, managing clusters, Slurm, Linux, CUDA, high-speed networks as well as ... Bachelor's Degree in Computer Science, Engineering or related field. * Experience with NVidia, Cray ...

VTG

High-Performance Computing Engineer

Mclean, VA · On-site

Overview iota IT, a subsidiary of VTG, is seeking a High-Performance Computing Engineer in McLean ... Experience with NVidia, Cray, managing clusters, Slurm, Linux, CUDA, high-speed networks as well as ...

teKnoluxion

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 ...

teKnoluxion

HPC Systems Engineer

Charlottesville, VA

$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 ...

teKnoluxion

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 ...

DeepSig Inc

Senior Software Engineer

Arlington, VA · On-site +1

$141K - $185K/yr

We are seeking a Senior Software Engineer to expand that portfolio utilizing the latest technology ... CUDA) * Software-defined radio (SDR) experience * Embedded system experience * This opportunity is ...

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Cuda Engineer information

See Virginia salary details

$36.2K

$106.4K

$136.3K

How much do cuda engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for cuda engineer in Virginia is $106,361.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $134,800.00 per year, depending on experience, location, and employer.

What are CUDA Engineers?

CUDA Engineers are software developers who specialize in using NVIDIA's CUDA (Compute Unified Device Architecture) platform to write programs that run on Graphics Processing Units (GPUs). They optimize and accelerate computational tasks by parallelizing code, making use of GPUs’ capabilities for high-performance computing. CUDA Engineers often work in fields like machine learning, scientific computing, and graphics, where large amounts of data need to be processed quickly. Their expertise includes proficiency in C/C++, CUDA programming, and understanding GPU hardware and parallel computing concepts.

What is the difference between Cuda Engineer vs GPU Developer?

AspectCuda EngineerGPU Developer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related; knowledge of CUDA, C++, parallel programmingBachelor's or Master's in Computer Science, Engineering, or related; experience with GPU programming, CUDA, OpenCL
Work EnvironmentResearch labs, tech companies, hardware firms focusing on GPU accelerationSoftware development teams, gaming, AI, scientific computing sectors
Employer & Industry UsageHardware manufacturers, AI companies, high-performance computing firmsGame development, scientific research, machine learning applications

While both roles involve GPU programming and CUDA expertise, a Cuda Engineer primarily focuses on developing and optimizing CUDA-based solutions for hardware acceleration. In contrast, a GPU Developer works on broader GPU programming tasks, including application development across various platforms. The roles often overlap but differ in scope and specific focus areas.

What are some common challenges faced by CUDA Engineers when optimizing GPU-accelerated applications?

CUDA Engineers frequently encounter challenges such as managing memory effectively between the host and the device, optimizing kernel performance, and minimizing data transfer bottlenecks. Debugging parallel code can also be complex due to race conditions and the difficulty of reproducing timing-related bugs. Collaborating closely with software developers and data scientists is essential to ensure that GPU resources are leveraged efficiently and that the application's overall performance meets project goals.

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

To thrive as a CUDA Engineer, you need a strong proficiency in C/C++ programming, parallel computing concepts, and deep knowledge of GPU architectures, often supported by a computer science or engineering degree. Experience with NVIDIA CUDA Toolkit, profiling/debugging tools, and sometimes certifications like NVIDIA DLI are highly valuable. Strong problem-solving, attention to detail, and effective communication skills help you optimize code and collaborate across teams. These skills ensure efficient development of high-performance GPU applications and successful project delivery in compute-intensive fields.
What are popular job titles related to Cuda Engineer jobs in Virginia? For Cuda Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Cuda Engineer jobs in Virginia look for? The top searched job categories for Cuda Engineer jobs in Virginia are:
What cities in Virginia are hiring for Cuda Engineer jobs? Cities in Virginia with the most Cuda Engineer job openings:
Cuda Engineer jobs near you
Infographic showing various Cuda Engineer job openings in Virginia as of July 2026, with employment types broken down into 4% As Needed, 57% Full Time, 1% Part Time, 24% Temporary, 1% Contract, and 13% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $106,361 per year, or $51.1 per hour.
Senior CUDA C++ Software Engineer

Senior CUDA C++ Software Engineer

Grey Matters Defense Solutions

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 11 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: jenny.rosenberg@greymattersdefense.com
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.

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