About the role
What will you do at NVIDIA?
For over 25 years, NVIDIA has been shaping computer graphics, PC gaming, and accelerated computing. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re harnessing 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.
Creating what has never existed before demands insight, originality, and the most exceptional talent from around the globe. As an NVIDIAN, you’ll be part of a diverse, encouraging environment where everyone is inspired to deliver their best work. Join our team and discover how you can make a lasting impact on the world.
What you’ll be doing: Develop CAD software for high performance chip design and verification related functions Develop new methodologies and tools to achieve design + verification at speed of light (SOL) Work with engineers on project execution support Co-develop EDA tools with our vendors to best suit Nvidia SOL needs What we need to see: BS or Master degree of Electrical Engineering/Computer Engineering/Computer Science or equivalent experience 3+ years of EDA tool development in the ASIC design/verification field Hands on experience with ASIC design and verification Must be proficient with Verilog or Sys Verilog Good with C++ and other programming languages like Python, Perl, TCL, etc.
Good understanding of computer algorithms. Ways to stand out from the crowd: Good understanding of Design for Testing including Scan/ATPG/JTAG. Utilization experience in Agentic AI tools like ClaudeCode, Cursor, CoPilot, etc Strong English communication.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge?
Come join our GPU Verification team and help us build future interconnect architectures that will continue to drive us forward in the fields of High Performance Computing, Graphics and AI. #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.
You will also be eligible for equity and benefits. Applications for this job will be accepted at least until May 26, 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.
NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.
Which skills does this role require?
Make your next move
Build a shortlist and prepare
Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.
- Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
- Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.
Other roles to compare
Review the responsibilities and requirements before adding an opening to your shortlist.
AI Outcome Customer Engineer, Forward Deployed Engineering
Google · Atlanta, Georgia, United States
AI Evaluations Engineer, US Decision Intelligence
Apple · Cupertino, California, United States
Research Engineer, Responsible Frontier AI Research, DeepMind
Google · New York, New York, United States
Senior Pre-Sales Solutions Engineer - SIEM/Security Analytics / CTI
Anomali · Boston, Massachusetts, United States
AI Risk Engineer
Bright Vision Technologies · Columbus, Ohio, United States
Staff/Principal AI Transformation Engineer
DiDi Autonomous Driving · San Jose, California, United States
Role information can change. Confirm current details on the original application page.