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Nvidia Research Jobs in Virginia (NOW HIRING)

Senior AI Engineer

Alexandria, VA · Hybrid

$131K - $237K/yr

Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex ... NVIDIA GPU ecosystems * Vector databases #ASBA #NMEC-Leidos If you're looking for comfort, keep ...

Contingent AI Engineer - Top Secret

Alexandria, VA · On-site

$111K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex ... NVIDIA GPU ecosystems * Vector databases ----- Who We Are Sunayu, LLC serves as a premier ...

Contingent AI Engineer - Top Secret

Alexandria, VA · On-site

$111K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex ... NVIDIA GPU ecosystems * Vector databases ----- Who We Are Sunayu, LLC serves as a premier ...

Contingent AI Engineer - Top Secret

Alexandria, VA · On-site

$131K - $237K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex ... Ray * NVIDIA GPU ecosystems * Vector databases Who We Are Sunayu, LLC serves as a premier ...

Senior Machine Learning Engineer

Mclean, VA

$105K - $145K/yr

... ML R&D software company with offices in Durham, NC and McLean, VA, that uses artificial ... Experiment tracking, Docker, ONNX/TensorRT, deploying inference services to the edge (e.g., NVIDIA ...

... NVIDIA, and nextgeneration AI and cyber platforms. Based in Reston, Virginia, this role will help ... Research partner offerings, programs, and market opportunities across federal agencies * Help ...

... Azure, NVIDIA, and next-generation AI and cyber platforms. Based in Reston, Virginia, this role ... Research partner offerings, programs, and market opportunities across federal agencies * Help ...

... NVIDIA, and nextgeneration AI and cyber platforms. Based in Reston, Virginia, this role will help ... Research partner offerings, programs, and market opportunities across federal agencies * Help ...

GPU Software Engineer

Arlington, VA · On-site

$107K - $195K/yr

  • Retirement

  • PTO

Our division primarily focuses on research & development and advanced prototyping, transforming ... Experience with NVIDIA development and profiling tools and libraries, including Compute Sanitizer ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... research to national intelligence. As a data engineer at Booz Allen, you'll use your skills and ... Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA ...

GPU Software Engineer

Arlington, VA · On-site

$107.90 - $195.05/hr

  • Medical

  • Retirement

  • PTO

Our division primarily focuses on research & development and advanced prototyping, transforming ... Experience with NVIDIA development and profiling tools and libraries, including Compute Sanitizer ...

New

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... research to national intelligence. As a data engineer at Booz Allen, you'll use your skills and ... Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA ...

GPU Software Engineer

Arlington, VA · On-site

$107K - $195K/yr

  • Medical

  • Retirement

  • PTO

Our division primarily focuses on research & development and advanced prototyping, transforming ... Experience with NVIDIA development and profiling tools and libraries, including Compute Sanitizer ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... research to national intelligence. As a data engineer at Booz Allen, you'll use your skills and ... Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... research to national intelligence. As a Data Engineer at Booz Allen, you'll use your skills and ... Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... research to national intelligence. As a data engineer at Booz Allen, you'll use your skills and ... Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA ...

Showing results 21-40

Nvidia Research information

See Virginia salary details

$10

$38

$75

How much do nvidia research jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for nvidia research in Virginia is $38.31, according to ZipRecruiter salary data. Most workers in this role earn between $20.57 and $52.13 per hour, depending on experience, location, and employer.

What is an Nvidia Research?

An Nvidia Research job involves conducting cutting-edge research in areas like artificial intelligence, computer graphics, and high-performance computing. Researchers work on innovative projects that push the boundaries of technology, often collaborating with academia and industry partners. These roles typically require expertise in machine learning, deep learning, hardware acceleration, or related fields. Team members publish papers, develop prototypes, and contribute to Nvidia's long-term technological advancements.

What are the key skills and qualifications needed to thrive in Nvidia Research?

Excelling in Nvidia Research typically requires a PhD or advanced degree in computer science, electrical engineering, or a related field, with strong expertise in machine learning, computer vision, and deep learning algorithms. Familiarity with programming languages such as Python and C++, and experience using frameworks like TensorFlow or PyTorch, as well as CUDA for GPU computing, are also important. Excellent problem-solving abilities, creativity, and effective collaboration and communication skills help set candidates apart. These skills are crucial for conducting innovative research, collaborating with multidisciplinary teams, and advancing the field of AI and graphics technology.

What opportunities for career growth and advancement are available within Nvidia Research?

Nvidia Research offers a dynamic environment where researchers can grow by taking on increasingly complex projects, publishing groundbreaking work, and collaborating with world-class experts. Many team members advance to senior and principal researcher roles or transition into leadership positions overseeing multi-disciplinary research initiatives. Nvidia also encourages continuous learning through conferences, workshops, and internal seminars, which further support professional development. As the company continues to expand its research footprint, there are ample opportunities to shape new areas of innovation and make a lasting impact on both the organization and the industry.

Does Nvidia Research do research?

Nvidia Research is a division within Nvidia that focuses on conducting advanced research in areas such as artificial intelligence, computer graphics, and deep learning. Researchers in this division work on developing new technologies, algorithms, and tools to advance Nvidia's products and industry standards.

What are the most commonly searched types of Nvidia Research jobs in Virginia?

The most popular types of Nvidia Research jobs in Virginia are:

Infographic showing various Nvidia Research job openings in Virginia as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 19% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $79,680 per year, or $38.3 per hour.

Senior AI Engineer

Leidos

Alexandria, VA • Hybrid

$131K - $237K/yr

Full-time

Re-posted 25 days ago


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

78th of 494 rated business services


Job description

Are you ready to thrive? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path.

Join Leidos' all-star team supporting the Defense Intelligence Agency's Enterprise Digital Modernization Accelerator initiative. This program is at the forefront of deploying enterprise-scale AI, data, and mission platform capabilities across cloud, edge, and classified environments. We are looking for creative, driven, and mission-focused professionals ready to take their career to the next level.

As a Senior AI Engineer, you will:

  • Support the development and operationalization of AI and agentic AI systems in production mission environments.

  • Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms.

  • Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics.

  • Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment.

  • Enjoy flexible work arrangements, including remote and on-site work in the National Capital Region (Rockville, MD and/or Alexandria, VA).

What You Bring:

  • Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Additional/Relevant experience may be substituted for a degree.

  • 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (4+ years with a Master's).

  • Active Top Secret clearance and eligibility for TS/SCI with Polygraph.

  • Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms.

  • Track record of creative problem solving, active learning, and mission-focused outcomes.

  • Experience with the following:

    • AI/ML production engineering

    • LLMOps / MLOps

    • RAG architectures

    • AI orchestration frameworks

    • Kubernetes-based AI deployments

    • OpenAI-compatible APIs

    • Python development

    • GPU inference optimization

Preferred Qualifications:

  • Experience supporting military or intelligence community customers.

  • Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing).

  • Familiarity with the following technologies

    • LangGraph

    • Semantic Kernel

    • vLLM

    • Ollama

    • Ray

    • NVIDIA GPU ecosystems

    • Vector databases

#ASBA

#NMEC-Leidos


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 25, 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 $131,300.00 - $237,350.00

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.


What Leidos employees say

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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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