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Nvidia Engineering Jobs (NOW HIRING)

Nvidia

Senior Software Engineer - NVIDIA Warp

Seattle, WA · On-site

$139K - $183K/yr

Partner with internal engineering teams, including those behind ALCHEMI, BioNeMo, PhysicsNeMo, and ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

Nvidia

Senior Software Engineer - NVIDIA Warp

Santa Clara, CA · On-site

$143K - $189K/yr

Partner with internal engineering teams, including those behind ALCHEMI, BioNeMo, PhysicsNeMo, and ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

Nvidia

Senior Software Engineer - NVIDIA Warp

Santa Clara, CA · On-site

$143K - $189K/yr

Partner with internal engineering teams, including those behind ALCHEMI, BioNeMo, PhysicsNeMo, and ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

Nvidia

Senior Developer Technology Engineer

New York, NY · Hybrid

$59.50 - $78.75/hr

... Engineering team is a global network of world-class experts revolutionizing industries through accelerated computing. We empower developers with groundbreaking solutions that solidify NVIDIA ...

Nvidia

Senior Developer Technology Engineer

Santa Clara, CA · Hybrid

$64 - $84.50/hr

... Engineering team is a global network of world-class experts revolutionizing industries through accelerated computing. We empower developers with groundbreaking solutions that solidify NVIDIA ...

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Nvidia Engineering information

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$46.5K

$146.9K

$174K

How much do nvidia engineering jobs pay per year?

As of Aug 13, 2026, the average yearly pay for nvidia engineering in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.

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 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.

More about Nvidia Engineering jobs
What cities are hiring for Nvidia Engineering jobs? Cities with the most Nvidia Engineering job openings:
What are the most commonly searched types of Nvidia Engineering jobs? The most popular types of Nvidia Engineering jobs are:
What states have the most Nvidia Engineering jobs? States with the most job openings for Nvidia Engineering jobs include:
What job categories do people searching Nvidia Engineering jobs look for? The top searched job categories for Nvidia Engineering jobs are:
Nvidia Engineering jobs near you
Infographic showing various Nvidia Engineering job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $146,868 per year, or $70.6 per hour.

Senior Research Engineer - AI Coding Tools

Nvidia Corporation

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Re-posted 15 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

NVIDIA's AI Developer Tools organization is seeking a Senior Research Engineer to join our Research team, where we build the AI coding agents, models, datasets, and evaluations at the heart of NVIDIA's strategy to put AI-powered coding tools in the hands of every CUDA developer. The AI coding space is moving faster than any of us have seen - products rise and fall in months - and we work on it from the epicenter: the company whose hardware most of the AI industry runs on.
Our team is small, in-person, and high-velocity. We prototype and ship novel coding agents, fine-tune and evaluate code LLMs, publish benchmarks like ComputeEval, and contribute datasets that feed NVIDIA's Nemotron foundation models. We make NVIDIA's core developer tools - including Nsight Compute and Nsight Systems - first-class citizens for AI agents through MCP servers and Agent Skills. The space shifts every few weeks, and we move with it. In this role, you'll bring applied AI research depth to a team that values shipping as much as experimentation. You won't be filling a narrow gap - you'll pick up significant projects across our portfolio, help set direction on new ones, and partner closely with product teams turning our research into features used by NVIDIA developers and external customers. For experienced AI-for-code practitioners who want to do frontier applied work with the stability and resources of NVIDIA behind them, this is a rare seat.
What you'll be doing:
  • Build and improve novel coding agents that help NVIDIA developers write, optimize, and maintain CUDA code - and that work alongside other AI agents in the developer's workflow
  • Design and ship evaluations, including extensions of our public ComputeEval benchmark, that measure what really matters in AI-powered CUDA development
  • Fine-tune and specialize code LLMs, and partner with the Nemotron team on the datasets and evaluations that feed NVIDIA's foundation models
  • Develop Agent Skills, MCP servers, and other tool-use interfaces that make NVIDIA's developer tools (Nsight Compute, Nsight Systems, and more) first-class for AI agents
  • Generate, curate, and validate synthetic training and evaluation data for CUDA programming
  • Deliver "net new knowledge" to frontier LLMs through RAG and skill-based systems that keep models current with NVIDIA's fast-moving software stack
  • Collaborate with partner product teams to turn research prototypes into shipping features used inside NVIDIA and by external customers

What we need to see:
  • B.S. in Computer Science or related technical field or equivalent experience (M.S. or Ph.D. a plus)
  • 12+ years of industry experience in applied AI/ML, with meaningful recent work in the AI-for-code space - coding agents, code LLMs, AI developer tools, or adjacent systems
  • Strong proficiency in Python and sound software engineering practices
  • Hands-on experience fine-tuning or evaluating LLMs, with appropriate humility about the complexity of training and data work
  • Fluency with the systems side of LLM-powered agents, including practical concerns like context management, prompt caching, tool-use design, MCP, and Agent Skills
  • Experience designing or contributing to rigorous evaluations for code generation or agentic systems
  • Track record of shipping - taking work past the prototype stage and into the hands of real users
  • Comfortable in a small, collaborative, in-person team with fast direction changes and little process overhead

Ways to stand out from the crowd:
  • Public contributions in the AI-for-code space - open-source agents or tools, widely-used benchmarks, influential papers, or blog posts with demonstrated real-world impact
  • Experience building coding agents or code LLMs that real users rely on every day
  • Familiarity with CUDA or other GPU programming, and/or with NVIDIA profiling tools (Nsight Compute, Nsight Systems) and libraries (cuDNN, cuBLAS, Thrust, CUB)
  • Experience with synthetic data generation and quality validation for code
  • Track record of zero-to-one product work, or work inside a recently-rebooted org with a strong mandate and customer pull

With competitive salaries and benefits, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're an applied AI researcher or engineer who wants to ship AI coding tools from the epicenter of the AI industry, and you thrive in a small, in-person team with a clear mandate, this is the role for you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 4, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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