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Internship Electrical Engineer Nvidia Jobs in Seattle, WA

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

A track record of success in mentoring junior engineers and interns is a bonus. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the ...

3M HEALTHCARE

Electrical Engineer

Seattle, WA · On-site

$110 - $160/hr

With funding from prominent investors such as BOND, NVentures (NVIDIA's venture arm), Anthos ... Electrical Engineer As an Electrical Engineer at Carbon Robotics you'll be a key part of the team ...

New

Carbon Robotics

Sr. Electrical Engineer

Seattle, WA · On-site

$122K - $159K/yr

... NVIDIA's NVentures and BOND. YouTube | X | Instagram | LinkedIn | News As Sr. Electrical Engineer ... at Carbon Robotics, you will design and optimize the robust electrical power distribution and ...

Carbon Robotics

Sr. Electrical Engineer

Seattle, WA · On-site

$122K - $159K/yr

... NVIDIA's NVentures and BOND. YouTube | X | Instagram | LinkedIn | News As Sr. Electrical Engineer ... at Carbon Robotics, you will design and optimize the robust electrical power distribution and ...

Carbon Robotics

Sr. Electrical Engineer

Seattle, WA · On-site

$122K - $159K/yr

... NVIDIA's NVentures and BOND. YouTube | X | Instagram | LinkedIn | News As Sr. Electrical Engineer ... at Carbon Robotics, you will design and optimize the robust electrical power distribution and ...

Carbon Robotics

Electrical Engineer, COTS/Sensor

Seattle, WA · On-site

$125K - $145K/yr

... NVIDIA's NVentures and BOND. YouTube | X | Instagram | LinkedIn | News As an Electrical Engineer ... COTS/Sensor at Carbon Robotics you'll be a key part of the team that designs and manages the eyes ...

Carbon Robotics

Electrical Engineer, COTS/Sensor

Seattle, WA · On-site

$125K - $145K/yr

... NVIDIA's NVentures and BOND. YouTube | X | Instagram | LinkedIn | News As an Electrical Engineer ... COTS/Sensor at Carbon Robotics you'll be a key part of the team that designs and manages the eyes ...

Nvidia

NCX Senior Engineer

Seattle, WA · On-site

$118K - $163K/yr

... NVIDIA AI workloads at scale on NCP platforms. What we need to see: * BS, MS, or Ph.D. in Computer Science, Computer/Electrical Engineering, or a related technical field, or equivalent experience ...

Nvidia

Senior Robotics Research Scientist

Seattle, WA · On-site

$112K - $142K/yr

Mentoring interns and more junior research scientists and engineers. What we need to see: * A PhD ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

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Internship Electrical Engineer Nvidia information

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How much do internship electrical engineer nvidia jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for internship electrical engineer nvidia in Seattle, WA is $24.66, according to ZipRecruiter salary data. Most workers in this role earn between $20.77 and $27.36 per hour, depending on experience, location, and employer.

What does an internship electrical engineer do at Nvidia?

An Internship Electrical Engineer at Nvidia assists in designing, testing, and troubleshooting hardware components for advanced computing products such as GPUs and AI systems. Interns may work with cross-functional teams to develop circuit boards, analyze electrical performance, and support prototype builds. They gain hands-on experience with industry-leading technology while learning about Nvidia’s design and manufacturing processes. The role involves using engineering tools, running simulations, and documenting findings to contribute to the development of innovative products.

What kinds of projects do electrical engineering interns typically work on at Nvidia, and how do these projects contribute to the company's goals?

As an Electrical Engineering intern at Nvidia, you can expect to work on hands-on projects that support the development and testing of cutting-edge hardware components, such as GPUs and AI accelerators. Interns often assist in circuit design, schematic review, board bring-up, and validation, collaborating closely with experienced engineers. These projects are integral to Nvidia's mission of advancing high-performance computing and AI technologies, and your contributions can have a direct impact on the performance and reliability of Nvidia’s products. The fast-paced, team-oriented environment encourages learning and skill development while providing valuable industry experience.

What are the key skills and qualifications needed to thrive as an internship electrical engineer at Nvidia, and why are they important?

To thrive as an Internship Electrical Engineer at Nvidia, you need a solid background in electrical engineering principles, circuit design, and familiarity with hardware development, typically supported by enrollment in or recent graduation from an accredited engineering program. Experience with tools such as SPICE simulation, PCB design software (e.g., Altium Designer), and programming languages like Python or C/C++ is highly beneficial. Strong problem-solving abilities, collaboration, and effective communication help interns contribute to team projects and adapt to Nvidia's fast-paced environment. These skills and qualities are crucial for delivering innovative hardware solutions and supporting Nvidia’s cutting-edge technology development.

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Internship Electrical Engineer Nvidia jobs near you
Infographic showing various Internship Electrical Engineer Nvidia job openings in Seattle, WA as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $51,284 per year, or $24.7 per hour.

Senior Deep Learning Compiler Engineer

Nvidia

Redmond, WA • On-site

$117K - $160K/yr

Full-time

Re-posted 21 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 245 rated software companies

Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world

We are looking for a Deep Learning Compiler Engineer. NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in many areas, e.g. large language models, generative AIs, recommendation systems, image classification, speech recognition, etc. Our DLC has been the backbone of NVIDIA inference engine, spanning across data centers, personal devices, automotive, and robotics. The compiler must deliver leading inference performance, fast build time, reduced memory footprints, and ease of use in the forms of both Ahead-of-Tine and Just-in-Time. Join the team building the DLC which will be used by the entire deep learning community.

What you'll be doing:

  • Analyzing deep learning networks and developing compiler optimization algorithms.

  • Collaborating with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software.

  • Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler infrastructure techniques for neural networks, and other general software engineering work.

What we need to see:

  • Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience

  • 3+ years of relevant work or research experience in performance analysis and compiler optimizations.

  • Ability to work independently, define project goals and scope, and lead your own development efforts.

  • Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.

  • Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.

Ways to stand out from the crowd:

  • Proficient in CPU and/or GPU architecture. CUDA or OpenCL programming experience.

  • Experiences in systems with constrained resources, such as embedded platforms, small memory size, and cross compilation.

  • Experience with the following technologies: MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as PyTorch.

  • GPU kernel generation with high performance and fast build time.

  • A track record of success in mentoring junior engineers and interns is a bonus.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.

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

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.#deeplearning

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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