NVIDIA 2027 Internships: Hardware Verification

NVIDIA; Santa Clara (CA); On-site; USD 28,000 - 98,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA invites students in Electrical/Computer Engineering or related fields to join a 12-week, full-time Hardware Verification internship. You will contribute to projects with measurable impact under guidance from NVIDIA's hardware verification teams.

Active enrollment in a qualifying degree program is required, with a clear anticipated graduation date on your resume. Benefits include intern perks and competitive hourly pay.

Qualifications

• Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree for the full duration of the internship.
• Anticipated graduation date must be indicated on resume/CV.

Responsibilities

• Work on 12-week full-time internship projects with measurable impact on NVIDIA's hardware verification efforts.

Skills

SystemVerilog

UVM

Verilog

Python

C++

Linux

VHDL

Education

B.S., M.S., or Ph.D. candidate in Electrical/Computer Engineering or related field

Tools

Verdi

DVE

Questa

JasperGold

Job description

By submitting your resume, you acknowledge that your Hardware VerificationInternship 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.

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Hardware teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

Throughout the 12-week full-time internship, students will work on projects that have a measurable impact on our business. We're looking for students pursuing a B.S., M.S., or Ph.D. degree within a relevant or related field.

What we need to see:

• Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field, for the full duration of the internship; anticipated graduation date (month and year) must be clearly indicated on a resume or CV to be considered.

Course or internship experience related to the following areas could be required:

• SystemVerilog and UVM (Universal Verification Methodology), VLSI Design, Digital Design, Functional Coverage
• Assertion-Based Verification (ABV), Formal Verification, GPU or processor Verification or Validation
• Debugging (Verdi, DVE, Questa) and Simulation Tools, Formal Verification (JasperGold or Cadence Jasper)
• Random functional testing, writing test plans, directed/random diagnostics
• CPU and GPU Architecture, Computer Architecture, Software Infrastructure (for validation of hardware architecture)
• Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies:UVM, Verilog, SystemVerilog, VHDL, Perl, TCL, C, C++, Python, Linux

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 - 71 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.