Senior Silicon Validation Engineer
$168000 - $264500/year
Job Description
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re 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 a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is seeking passionate Senior Silicon Validation Engineers to validate the world’s leading GPUs and SOCs. This position offers the opportunity to have real impact in a dynamic, technology-focused company influencing product lines ranging from data center compute to self-driving cars. We have crafted an outstanding team of people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. Join our team of hardworking engineers who work across the micro-architecture, design, verification, implementation and post silicon validation of state of the art NVIDIA chips.
What you'll be doing:
- Validate the industry’s leading processors for deep learning, gaming, and high performance computing.
- Understand the design and implementation and bridge your knowledge to bring-up and productization
- Manage the validation of chip features and lead debug of observations on Silicon.
- Responsible for developing and productizing ATE functional vectors
- Work multi-functionally with ASIC, SW, System, Characterization and ATE teams to accomplish your tasks.
What we need to see:
- BS or MS in EE, ECE, CS or equivalent experience with 10+ years of proven experience.
- Good fundamentalsin debugging methodologies and strong problem solving skills
- Exposure to post silicon bringup and validation, production testing flows and handling of RMAs
- Flexibility/adaptability for working in a dynamic environment with different frameworks and requirements
- Proven track record to work cross functionally and drive issues to closure.
- Thirst and ability to learn and adapt to new technologies
- Good interpersonal skills and ability & desire to work as a standout colleague are a must.
Ways to stand out from the crowd:
- Background with lab equipment like logic analyzers, oscilloscopes etc. is helpful.
- Prior experience on working with ATE and/or ATE test vector development is a plus!
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 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.
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About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing