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Nvidia Engineering Jobs in Virginia (NOW HIRING)

Steampunk

AI Developer

Mclean, VA · On-site +1

$145K - $185K/yr

AWS/Azure/GCP ML Specialty , Databricks ML Professional , NIST AI RMF Practitioner (AISIC) , NVIDIA DLI Certifications, or similar advanced AI engineering credentials. About steampunk Steampunk ...

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 ...

Steampunk

AI Developer

Mclean, VA

$145K - $185K/yr

AWS/Azure/GCP ML Specialty , Databricks ML Professional , NIST AI RMF Practitioner (AISIC) , NVIDIA DLI Certifications, or similar advanced AI engineering credentials. About steampunk Steampunk ...

Steampunk

AI Developer

Mclean, VA

$145K - $185K/yr

AWS/Azure/GCP ML Specialty , Databricks ML Professional , NIST AI RMF Practitioner (AISIC) , NVIDIA DLI Certifications, or similar advanced AI engineering credentials. Steampunk relies on several ...

Steampunk

AI Developer / Product SME

Mclean, VA

$145K - $185K/yr

AWS/Azure/GCP ML Specialty , Databricks ML Professional , NIST AI RMF Practitioner (AISIC) , NVIDIA DLI Certifications, or similar advanced AI engineering credentials. Steampunk relies on several ...

Steampunk

AI Developer / Product SME

Mclean, VA

$145K - $185K/yr

AWS/Azure/GCP ML Specialty , Databricks ML Professional , NIST AI RMF Practitioner (AISIC) , NVIDIA DLI Certifications, or similar advanced AI engineering credentials. About steampunk Steampunk ...

Steampunk

AI Developer / Product SME

Mclean, VA · On-site

$145K - $185K/yr

AWS/Azure/GCP ML Specialty , Databricks ML Professional , NIST AI RMF Practitioner (AISIC) , NVIDIA DLI Certifications, or similar advanced AI engineering credentials. About steampunk Steampunk ...

AeroVironment

Software Engineer

Centreville, VA

... g., Nvidia Xavier/Orin) and integration into unmanned aerial systems (UAS) and maritime surface ... Strong software engineering skills with proficiency in C/C++ (primary), including a sound ...

DeepSig Inc

Senior Software Engineer

Arlington, VA · On-site +1

$141K - $185K/yr

Work with product stakeholders to contribute to the roadmap, delivering customer and engineering ... ++17 * NVIDIA stack (CUDA, TensorRT) * Python, PyTorch * CMake * Docker * GitLab * GoogleTest ...

AeroVironment, Inc.

Software Engineer

Centreville, VA · On-site

... g., Nvidia Xavier/Orin) and integration into unmanned aerial systems (UAS) and maritime surface ... Strong software engineering skills with proficiency in C/C++ (primary), including a sound ...

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 ...

DeepSig, Inc

Senior Software Engineer

Arlington, VA · On-site

$141K - $185K/yr

Work with product stakeholders to contribute to the roadmap, delivering customer and engineering ... ++17 * NVIDIA stack (CUDA, TensorRT) * Python, PyTorch * CMake * Docker * GitLab * GoogleTest ...

Booz Allen Hamilton

Data Engineer

Arlington, VA

$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 CUDA * Experience with infrastructure as code frameworks and services, including Terraform or ...

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 CUDA * Experience with infrastructure as code frameworks and services, including Terraform or ...

Booz Allen Hamilton

Data Engineer

Arlington, VA

$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 ...

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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 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:
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

AI Developer

Steampunk

Mclean, VA • On-site, Remote

$145K - $185K/yr

Other

Posted 28 days ago

Job description

Overview
We are seeking an experiencedAI Developer to serve as a technical authority and product-focused subject-matter expert across our predictive and generative AI solution portfolio. This role will provide expert guidance on the architecture, design, development, and delivery of enterprise-grade AI applications-spanning LLM-powered systems, RAG pipelines, agents, multimodal solutions, and custom machine learning models. The AI Developer / Product SME will work closely with engineering, product, UX, evaluation, governance, and client leadership to define AI capabilities that meaningfully support mission outcomes.
Contributions
  • Serve as the senior technical expert for the design and implementation of production AI systems, advising teams on architecture, model selection, orchestration strategies, and optimal development patterns.
  • Lead the creation of scalable, reusable AI components, services, and frameworks that accelerate delivery across the organization.
  • Partner with product teams to translate mission challenges into well-defined AI-enabled features, workflows, and technical requirements.
  • Provide deep expertise on LLMs, embedding models, fine-tuning techniques, agentic systems, and retrieval-augmented generation (RAG) architectures.
  • Guide engineering teams on best practices for prompt engineering, context management, document processing, evaluation-driven iteration, and safe system design.
  • Collaborate with LLMOps teams to ensure robust deployment patterns, monitoring strategies, inference optimization, and lifecycle management of AI models and pipelines.
  • Conduct technical reviews, validate solution designs, and ensure alignment with enterprise architecture, governance policies, and client goals.
  • Mentor senior engineers and guide teams through complex AI development challenges with a focus on software engineering excellence and user-centered design.
  • Stay current with emerging AI technologies, research, frameworks, and foundational models; evaluate their suitability for client missions and incorporate learnings into practice standards.
  • Act as an expert advisor in client-facing discussions, helping stakeholders understand capability tradeoffs, risks, and opportunities associated with AI solutions.
  • Contribute to the development of accelerators, design patterns, internal best-practice guides, workshops, and training to expand AI delivery maturity across the practice.

Qualifications
  • Ability to hold a position of public trust with the U.S. government.
  • Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field.
  • 8+ years of experience in AI/ML engineering, software development, or applied AI product development.
  • Deep expertise in modern AI frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, and relevant orchestration tools.
  • Proven experience building production-grade generative AI applications, including LLM integration, retrieval pipelines, fine-tuning, embeddings, agents, or multimodal workflows.
  • Strong understanding of cloud platforms (AWS, Azure, GCP) including secure architecture patterns, serverless services, containerization, and distributed compute.
  • Experience developing APIs, microservices, and scalable backend systems that integrate AI capabilities into user-facing applications.
  • Strong ability to frame technical solutions in the context of mission needs and product strategy; ability to influence feature design and roadmap decisions.
  • Familiarity with AI governance principles, safety constraints, evaluation frameworks, and compliance considerations for production AI systems.
  • Excellent communication skills with the ability to articulate complex AI concepts to technical and non-technical audiences, including clients and executives.
  • Demonstrated leadership in mentoring engineers, elevating team performance, and establishing engineering best practices.
  • Preferred certifications: AWS/Azure/GCP ML Specialty, Databricks ML Professional, NIST AI RMF Practitioner (AISIC), NVIDIA DLI Certifications, or similar advanced AI engineering credentials.

About steampunk
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $145,000 to $185,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.

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