Job description

NVIDIA continues to reinvent itself. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can take on, and that matter to the world. Are you passionate about working at the groundbreaking of technology? Make the choice to join us today. Our System Level Product Engineering team works on groundbreaking innovations involving crafting creative solutions for system level diag, verification and post-silicon validation of some of the industry's most complex semiconductor chips. What you'll be doing: • Solve complex testing challenges and develop new methodologies for reliable testing of chips at SLT • Key responsibilities include characterization, yield enhancement and spec validation. • Partner with other engineering groups including ASIC, DFT, ATE, silicon validation, fab process, software and quality teams to coordinate efforts and resolve silicon issues. • Initiate and drive process improvements/preventative actions through root cause analysis. • The ideal candidate will always look to improve workflows, products, functions and methodologies while working multi-functionally to achieve the company goals. What we need to see: • BSEE or MSEE degree (or equivalent experience). • 5+ years of relevant product engineering work experience or similar hardware systems background. • Self-motivated with strong technical, interpersonal, written/oral communication skills • Problem solving experience/ability. • Be able to quickly become a strong contributor both as an individual and as a member of highly productive team. • Software skills needed for large scale data analysis such as Python. • Experience with HBM/GDDR memory, Power/Speed/Noise/Thermal characterization is a plus. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most talented people in the world working for us. If you're creative and autonomous, we want to hear from you. You can do your life’s work here! Join us! 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 - 212,750 USD for Level 3, and 168,000 USD - 258,750 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until April 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.

Requirements

Must-haves

Solve complex testing challenges and develop new methodologies for reliable testing of chips at SLT
Key responsibilities include characterization, yield enhancement and spec validation.
Partner with other engineering groups including ASIC, DFT, ATE, silicon validation, fab process, software and quality teams to coordinate efforts and resolve silicon issues.
Initiate and drive process improvements/preventative actions through root cause analysis.
The ideal candidate will always look to improve workflows, products, functions and methodologies while working multi-functionally to achieve the company goals.
BSEE or MSEE degree (or equivalent experience).
5+ years of relevant product engineering work experience or similar hardware systems background.
Self-motivated with strong technical, interpersonal, written/oral communication skills
Problem solving experience/ability.
Be able to quickly become a strong contributor both as an individual and as a member of highly productive team.
Software skills needed for large scale data analysis such as Python.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until April 26, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

Experience with HBM/GDDR memory, Power/Speed/Noise/Thermal characterization is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipython

Platform: eightfold
Effort: medium