NVIDIA 2027 Ignite Internships: Hardware Engineering

NVIDIA is hiring a NVIDIA 2027 Ignite Internships: Hardware Engineering in Santa Clara, United States. It pays $20-$56/hr and Level rates it ; you can apply on Level.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
The posting mentions Python, C and Matlab among its tools and skills.
Level classes it as an internship.
NVIDIA has 2,700+ other open roles on Level.
This posting went up within the past two weeks.

AI in this role

12-week summer pre-internship program for undergraduate students offering hands-on hardware engineering projects.

pythoncmatlabperl

computer-visionhardware-engineeringasicgpu-verificationcircuit-design

By submitting your resume, you acknowledge that your Ignite Internships: Software Engineering application will be processed in accordance with NVIDIA’s Applicant Privacy Policy and you agree to our Terms of Service. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.

The NVIDIA Ignite Application will be open from 10/5/2026 - 10/18/2026

The NVIDIA Ignite program gives you everything you need to start building your career—a whole lot earlier than you might expect. This inclusive, 12-week summer pre-internship program was created to give current first and second year undergrad students, from a variety of backgrounds, a chance to work hands-on with real technical experts on real projects. It’s a fully immersive experience covering the products, culture, and ecosystem that makes NVIDIA a truly unique place to ignite your career. The 12-week Ignite Internship is located on-site at Santa Clara, CA. NVIDIA will cover one-time round trip expense for students traveling over 50 miles to Santa Clara and provide a supplemental housing stipend to assist with living expenses over the summer.

Potential Internships in this field include:

AI Developer Technology
ASIC Physical Design and Timing
GPU Verification and Design
Hardware ASIC
Hardware CPU Infrastructure
Hardware Infrastructure Content/Performance
Power Architect

What we need to see:

Must be a first-year (class of 2030) or second year (class of 2029) undergraduate pursuing a bachelor’s degree at a four-year university in the United States in either of the following: EE, CE, CS, Mathematics, or a related field
Anticipated graduation date (month and year) must be clearly indicated on your resume to be considered
Demonstrate passion through involvement in relevant clubs, leadership roles, extracurricular projects, and more
Enrolled in courses in computing and engineering, specifically geared towards Hardware basics 
Basic knowledge of one or more of the following programming languages C, C++, Python, Perl, MATLAB 
Creativity and problem-solving mentality; willingness to develop new skills; ability to adapt to new experiences 
The desire to learn new concepts and tools in a growing and evolving workspace

Ways to stand out from the crowd:

Students seeking their first relevant industry or corporate internship experience
Demonstrated initiative to learn about technology, computers, artificial intelligence, machine learning, computer vision, robotics, parallel computing, etc.
Basic knowledge of one of the following CAD Skills: Catia, SiemensNX, Solidworks Creo
Understanding of VLSI Design, Computer Architecture, Computer Arithmetic, CMOS Transistors, and Circuits
Basic knowledge of Verilog, SystemVerilog, or VHDL
Background in modern GPU API’s (CUDA, OpenCL)

Why NVIDIA? We’re all about redefining the future. You can see it in our AI and visual computing technologies, from the data center and self-driving cars to gaming and robots. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most dedicated and passionate people on the planet working for us. Apply now to begin your life’s work!

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 56 USD.

You will also be eligible for Intern benefits.

Applications are accepted on an ongoing basis.

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.

How we rate this

NVIDIA 2027 Ignite Internships: Hardware Engineering at NVIDIA rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

NVIDIA 2027 Ignite Internships: Hardware Engineering is an open job at NVIDIA.
Level rates this role AI Level 1 of 4: Little AI.
The listed pay is $20-$56/hr.
The role is based in US, CA, Santa Clara.
The job was posted on October 5, 2026.
Seniority: intern.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionHardware EngineeringAsicGPU VerificationCircuit DesignPythonCMatlab

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
Tell me about a project where hardware engineering was part of your work. What did you do?
Tell me about a project where asic was part of your work. What did you do?
Tell me about a project where gpu verification was part of your work. What did you do?
Tell me about a project where circuit design was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Computer vision, Hardware Engineering, Asic, GPU Verification, and Circuit Design. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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