About the role
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.
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.
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.Skills & Tags
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.