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Entry Level Nvidia Hardware Engineer Jobs (NOW HIRING)

Working closely with architecture, hardware and driver teams through the product development life ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

... for NVIDIA SOC and GPU hardware * Architecting and driving new diagnostic software solutions that ... Strong C/C++ programming skills and object-oriented programming skills. * Experience with low level ...

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Entry Level Nvidia Hardware Engineer information

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$51K

$146.2K

$196.5K

How much do entry level nvidia hardware engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for entry level nvidia hardware engineer in the United States is $146,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $163,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Nvidia Hardware Engineer vs Entry Level Nvidia Software Engineer?

AspectEntry Level Nvidia Hardware EngineerEntry Level Nvidia Software Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related fieldBachelor's in Computer Science, Software Engineering, or related field
Work EnvironmentDesigning and testing hardware components, working in labs and on hardware prototypesDeveloping, testing, and optimizing software for Nvidia products, working in software development environments
Employer & Industry UsagePrimarily in hardware R&D, manufacturing, and product design within Nvidia and semiconductor industryIn software development teams, focusing on drivers, APIs, and application software for Nvidia hardware

Both roles require a strong technical background and collaboration with cross-disciplinary teams. Hardware engineers focus on physical components and circuit design, while software engineers develop the code that runs on Nvidia hardware. Understanding the differences helps candidates target their skills and career goals effectively.

More about Entry Level Nvidia Hardware Engineer jobs
What cities are hiring for Entry Level Nvidia Hardware Engineer jobs? Cities with the most Entry Level Nvidia Hardware Engineer job openings:
What are the most commonly searched types of Nvidia Hardware Engineer jobs? The most popular types of Nvidia Hardware Engineer jobs are:
What states have the most Entry Level Nvidia Hardware Engineer jobs? States with the most job openings for Entry Level Nvidia Hardware Engineer jobs include:
Infographic showing various Entry Level Nvidia Hardware Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $146,230 per year, or $70.3 per hour.
Software Engineer, GPU Performance Tools

Software Engineer, GPU Performance Tools

NVIDIA

Santa Clara, CA

$163K/yr

Other

Posted 16 days ago


Job description

NVIDIA's GPU Architecture Group is seeking an outstanding Software Engineer to advance the state of the art in GPU performance tools. This role offers the opportunity to develop innovative profiling capabilities on the next-generation hardware. In this role, you will get to reshape how engineers understand and optimize the world's most advanced GPUs. If you want the freedom to take features from concept through implementation while applying critical thinking and engineering judgment, this is the role for you!

What you'll be doing:

  • Build innovative features for NVIDIA's GPU profiling tools from inception to execution

  • Incorporate new hardware profiling capabilities into tools and workflows

  • Work independently based on high-level requirements, filling in build details and making sound engineering decisions

  • Collaborate with architects, performance engineers, and other software teams to understand requirements and deliver solutions

  • Improve and maintain a large, evolving codebase with high standards for quality and reliability

What we need to see :

  • B.S., M.S., or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience)

  • 3 years or more experience writing production software in Python and C+

  • Proven foundation in computer architecture and performance analysis

  • Experience in parallel programming or accelerated computing

  • Track record of building tools or infrastructure for other engineers, with a strong sense of what makes a great developer experience

  • Up to date with the latest software engineering practices including AI-enabled development tooling

Ways to stand out from the crowd:

  • Contributions to open-source performance analysis tooling

  • Experience as a user or creator of CPU or GPU profiling tools

  • Experience in GPU computing or accelerated computing platforms

  • Background with building software tools on top of hardware capabilities

  • Familiarity with AI workloads and their performance characteristics

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .

Applications for this job will be accepted at least until June 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.


Nvidia logo

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