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Nvidia Engineering Jobs in Virginia (NOW HIRING)

Neuroscale AI

Forward Deployed Engineer

Reston, VA · On-site

Our momentum is further fueled by blue-chip partners and programs, including the NVIDIA Inception ... This is a hands-on engineering role with significant customer exposure. You will write code, design ...

Cmu

Autonomy Engineer

Arlington, VA · Hybrid

We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense ... Experience with physics-based simulators such as NVIDIA's Issac Sim is required. * Robotics ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Experience in data engineering, pipeline development, systems administration or software ... Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Experience in data engineering, pipeline development, systems administration or software ... Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Experience in data engineering, pipeline development, systems administration or software ... Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA * Experience with infrastructure as code frameworks and services, including Terraform or ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA * Experience with infrastructure as code frameworks and services, including Terraform or ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA ... Master's degree in CS, Computer Engineering, Mathematics, Data Science, Software Engineering ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA CUDA * Experience with infrastructure as code frameworks and services, including Terraform or ...

Booz Allen Hamilton

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA ... Master's degree in CS, Computer Engineering, Mathematics, Data Science, Software Engineering ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA ... Master's degree in CS, Computer Engineering, Mathematics, Data Science, Software Engineering ...

STR

Senior Machine Learning Engineer

Arlington, VA · On-site

$155K - $195K/yr

Drive technical excellence by providing leadership and championing software engineering best ... Experience running models on NVIDIA GPUs * Experience containerizing and deploying software using ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA ... Master's degree in CS, Computer Engineering, Mathematics, Data Science, Software Engineering ...

CACI International, Inc.

$155K/yr

Engineering Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular ... Provide summaries of roadmaps for Intel, AMD, NVIDIA, networking, and storage. * Compare and ...

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All JobsNvidia Engineering JobsNvidia Engineering Jobs in Virginia

Nvidia Engineering information

See Virginia salary details

$46.1K

$145.6K

$172.5K

How much do nvidia engineering jobs pay per year?

As of Aug 21, 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 is an Nvidia engineer?

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.

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.

What are the key skills and qualifications needed to thrive as an Nvidia engineer, 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 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:

What job categories do people searching Nvidia Engineering jobs in Virginia look for?

The top searched job categories for Nvidia Engineering jobs in Virginia are:

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
Infographic showing various Nvidia Engineering job openings in Virginia as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $145,608 per year, or $70 per hour.

Contingent AI Engineer - Top Secret

Sunayu, LLC

Alexandria, VA • On-site

$131K - $237K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Category: Data Scientist
Travel Required: No
Remote Type: No
**Position is contingent upon contract award**
Sunayu, LLC is looking for a AI Engineer who 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.

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

Who We Are
Sunayu, LLC serves as a premier technology partner to the Defense and Intelligence communities, delivering mission-critical engineering solutions across the nation. Our operations are anchored in a commitment to trust, accountability, and ethical transparency, ensuring the high-performance outcomes necessary to protect our country's most vital interests.
Culture
Our strength lies in our community: Our team prioritizes collaboration, professional growth, and encourages open communication. At Sunayu, we don't just secure the mission-we grow together.
Career Development
We support and encourage our team members to continue their professional growth by providing company-reimbursed training and continuing education of up to $5,000 per year. We also participate in many industry conferences and events where we share our expertise and experiences.
Pay Rate
Salary range considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills, as well as market and business considerations when extending an offer.
Benefits
  • 3 Medical Plan Options
  • Dental and Vision
  • FSA, DCFSA, HSA
  • Life/AD&D Insurance
  • Short-Term & Long-Term Disability
  • Employee Assistance Program (EAP)
  • Training and Educational Assistance
  • Paid Time Off (PTO)
  • 11 Federal holidays
  • 401k plan with up to a 6% match (100% immediate vesting)

Equal Opportunity Employer
Sunayu, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability status, marital status, genetic information, medical condition, or any other characteristic protected by law.

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