
PCIe Design Verification Intern - Spring 2027
Required skills
- PCIe
- CXL
- SV/UVM
- SystemVerilog
- Object Oriented programming
- Python
- Perl
- Computer architecture
- ASIC design
- Verification methodology
Nice to have
- directed diagnostics
- random diagnostics
- reference models
- C simulation models
- RTL models
- HW emulators
Role summary
NVIDIA is seeking a PCIe Design Verification Intern for a six-month role from February 2027 to August 2027. The intern will work within an SV/UVM test-bench to verify PCIe and CXL hardware functionality and performance. Responsibilities include feature enablement, coding coverage/checkers, simulation performance analysis, and automation of engineering processes. The role requires pursuing a BS or MS in a related field, with exposure to computer architecture, ASIC design, or verification methodology. Familiarity with Object-Oriented programming, SystemVerilog, and scripting languages like Python or Perl is necessary. Preferred qualifications include experience with directed/random testing, automation, hardware simulation, and waveform debug tools.
Today, NVIDIA is 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 an inclusive, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
We are seeking to hire a PCIe Design Verification Intern in a six month role, working within February 2027 - August 2027.
In this role you will work in an SV/UVM test-bench, verifying PCIe and CXL hardware functionality and performance. Responsibilities may include enablement of new features (coding and debug), coding of coverage or checkers, simulation performance measuring/analysis/improvement, or automation of engineering processes and tools.
What you’ll be doing:
- Develop directed or random diagnostics to validate the processor Instruction Set Architecture (ISA), reference models, C simulation models, RTL models, HW emulators and real hardware.
- Write and review validation test plans.
- Debug of diagnostics on various platforms
- Collaborate with a worldwide team of engineers on planning, development, and deployment.
What we need to see:
- Pursuing a BS or MS in Computer Science, Computer Engineering, Electrical Engineering or related degree.
- Exposure to computer architecture, ASIC design, or verification methodology is required.
- Familiarity with Object Oriented programing and/or SystemVerilog
- Previous scripting experience in Python or Perl.
Ways to stand out from the crowd:
- Passionate about solving problems
- You're experienced with directed and random functional testing including writing test plans
- Familiar with automation of build, test, and other engineering processes
- Experience with hardware simulation and waveform debug tools
NVIDIA is widely considered one of the technology world’s most desirable employers. We employ some of the most forward-thinking and talented people in the world. Are you passionate about joining our life work to amplify human imagination and intelligence? If you are creative, collaborative, and have a real passion for design methodology and automation, we want to hear from you!
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 for this job will be accepted at least until October 16, 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.Sample NVIDIA interview questions
- 1
Design a system for a rock paper scissors game
system designmedium - 2
Implement a distributed data migration management platform.
system designmedium - 3
Design a Distributed Build System with Cross-Data Center Artifact Sharing
system designhard - 4
Design a distributed training system for a trillion-parameter language model
system designmedium - 5
Develop a distributed tracing system for tracking and debugging.
system designmedium
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