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Nvidia Engineering Jobs in Virginia (NOW HIRING)

Neuroscale AI

Director of Engineering

Reston, VA · On-site

Our momentum is further fueled by blue-chip partners and programs, including the NVIDIA Inception ... The Role As Director of Engineering, you will be the senior technical leader responsible for ...

Accenture Federal Services

AI Engineer

Alexandria, VA

$243K/yr

Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability * Collaborate with cross-functional teams in AI, DevSecOps, data engineering, platform engineering ...

Accenture Federal Services

AI Engineer

Arlington, VA · On-site

$116K - $243K/yr

Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability * Collaborate with cross-functional teams in AI, DevSecOps, data engineering, platform engineering ...

Accenture Federal Services

AI Engineer

Alexandria, VA

$203K/yr

Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability * Collaborate with cross-functional teams in AI, DevSecOps, data engineering, platform engineering ...

Accenture Federal Services

AI Engineer

Arlington, VA · On-site

$100K - $203K/yr

Integrate with NVIDIA GPU ecosystems and vector databases to enhance AI performance and scalability * Collaborate with cross-functional teams in AI, DevSecOps, data engineering, platform engineering ...

Navstar

Machine Learning Engineer

Centreville, VA

$102K - $144K/yr

These development efforts require a range of skills and tools across traditional engineering ... Familiarity with Nvidia Tools (CUDA, JetPack, TensorRT) and deployment process to Nvidia GPUs

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Nvidia Engineering information

See Virginia salary details

$46.1K

$145.6K

$172.5K

How much do nvidia engineering jobs pay per year?

As of Jun 12, 2026, the average yearly pay for nvidia engineering in Virginia is $145,608.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $171,500.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in specialized fields such as software, hardware, or systems engineering at major technology companies can earn $500,000 or more annually, often including bonuses, stock options, and other compensation. Achieving this level typically requires extensive experience, advanced skills, and sometimes leadership roles or executive responsibilities.

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

To thrive in Nvidia Engineering, candidates typically need strong proficiency in computer engineering, software development, and a solid understanding of hardware architecture, often backed by a relevant degree such as Electrical Engineering or Computer Science. Familiarity with tools like CUDA, C/C++, Python, and version control systems, as well as experience with GPU programming, are highly valued, and certifications such as Nvidia's Deep Learning Institute credentials can enhance a candidate's profile. Excellent problem-solving, team collaboration, and communication skills set top performers apart in this role. These skills and qualifications enable engineers to contribute effectively to complex, innovative projects that drive Nvidia's technological advancements.

What is an Nvidia Engineering job?

An Nvidia Engineering job involves designing, developing, and optimizing hardware or software solutions in areas such as graphics processing, AI, and high-performance computing. Engineers at Nvidia work on cutting-edge technologies, including GPUs, deep learning frameworks, and system architecture. Roles vary from hardware design and verification to software development and AI research, depending on expertise. Strong skills in programming, computer architecture, and problem-solving are typically required.

Which engineers does NVIDIA hire?

NVIDIA hires a variety of engineers including hardware engineers, software engineers, AI and deep learning engineers, and systems engineers. Candidates typically need strong technical skills, experience with programming languages like C++ and Python, and knowledge of GPU architectures or AI frameworks. The company values innovation, collaboration, and relevant technical certifications or degrees in engineering or computer science.

Is it hard to get hired at NVIDIA?

Getting hired as an engineer at NVIDIA can be competitive due to the company's reputation and high standards. Candidates typically need strong technical skills, relevant experience, and a solid understanding of areas like GPU architecture, software development, or AI. The hiring process often involves multiple interviews and technical assessments.

What types of projects do Nvidia Engineers typically work on, and how is teamwork structured within the engineering department?

Nvidia Engineers commonly engage in projects related to GPU development, AI and deep learning solutions, software driver optimization, and next-generation hardware innovation. Project teams are often multidisciplinary, bringing together software, hardware, and systems engineers to collaborate closely on end-to-end product development. Engineers frequently work in agile, fast-paced environments, attend regular team stand-ups, and participate in cross-functional meetings. This collaborative structure fosters creativity, accelerates problem-solving, and ensures high-quality product delivery while offering team members exposure to diverse technologies and career growth opportunities.

How much do NVIDIA engineers get paid?

NVIDIA engineers' salaries vary based on experience, role, and location, but the average annual salary for software engineers at NVIDIA typically ranges from $100,000 to $150,000. Senior engineers and those with specialized skills in AI, graphics, or hardware may earn higher compensation, often including bonuses and stock options.
What are the most commonly searched types of Nvidia Engineering jobs in Virginia? The most popular types of Nvidia Engineering jobs in Virginia are:
What are popular job titles related to Nvidia Engineering jobs in Virginia? For Nvidia Engineering jobs in Virginia, the most frequently searched job titles are:
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What cities in Virginia are hiring for Nvidia Engineering jobs? Cities in Virginia with the most Nvidia Engineering job openings:
Nvidia Engineering jobs near you
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

Posted 10 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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