Senior Product Development Engineer

NVIDIA is hiring a Senior Product Development Engineer in Santa Clara, United States. It pays $136k-$213k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
Level classes it as a senior role.
NVIDIA has 2,700+ other open roles on Level.

AI in this role

NVIDIA is a leading provider of cutting-edge technology solutions in the semiconductor industry! We specialize in the development and enhancement of integrated circuits (ICs) for a wide range of applications, including consumer electronics, automotive, and telecommunications. Our team is dedicated to innovation, quality, and pushing the boundaries of what is possible in the world of microelectronics. We are seeking a highly skilled and motivated Product Development engineer to drive bring up of innovative SOCs through collaboration with external vendors, design and production teams.

What you'll be doing:

Serve as the primary technical interface between ATE and internal partners for test strategy, ATE bring-up, and silicon qualification, driving alignment on PDE char plan, DFT coverage & engineering FA for root-cause & preventive action.
Define & drive PDE Silicon characterization plans covering key tests (scan, mbist, IObist, functional) & features covering analog mixed-signal designs.
Ensure robust test yields are achieved going from NPI to high volume manufacturing. Test yield distractors are debugged & resolved systematically to achieve the target yields.
Finalize overall reliability QUAL stress conditions based on product usage covering embedded, commercial, industrial & automotive needs.
Drive all aspects of stress testing of silicon from wafer-level to pkg. level covering silicon+pkg level reliability qualification & testing associated with it.
Ensure Burn-in needs for the product are evaluated, supported & deployed in NPI & MP phase.
Analyze & automate aging data from HTOL/pkg. qual/DVS testing & guide the team on further debug steps for further failure analysis.
Drive true failures from reliability evaluation to closure w/ final FA report, working with FA & foundry teams.

What we need to see:

Bachelor's degree in Electrical Engineering (or equivalent experience) and 5+ years of relevant experience
Analytical and problem-solving skills, especially in solving ATE test failures with root-cause analysis.
Hands on experience of debugging chip level failures on ATE platform & drive FA to closure.
Good understanding & experience of SOC / Silicon qualifications covering exposure to HTOL, ESD/LU, HTS, TC, HAST etc.
Exposure to both Teradyne and Advantest platforms is a plus

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
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 November 3, 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.

How we rate this

Senior Product Development Engineer at NVIDIA rates 33 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.