This role pays more than
82%
of similar roles. Most pay
$138,775–$195,442
— the shaded band above.
At the midpoint, this role pays about
$213k
versus about
$167k
for comparable roles.
Based on 238 similar postings.
Employer
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
Nvidia currently has
855 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 843 roles with salary data.
As a Product Development Engineer at NVIDIA’s Operations GPU Team, you will lead failure analysis for system-level issues and customer returns, identifying root causes and implementing corrective actions back into wafer sort and package test processes. You’ll work closely with cross-functional teams including Design, Test Engineering, and PQE to enhance chip-level testability and outgoing quality through improved hooks, modes, and observability features. Additionally, you will develop AI-driven workflows to pinpoint yield limiters and customer-quality risks, driving measurable improvements in manufacturing efficiency. This role requires a BS degree in electrical engineering or equivalent experience, with at least 8 years of product verification and failure analysis on Verigy 93K testers, proficiency in Python, C/C++, and data analytics tools like JMP, along with strong communication and collaboration skills. Experience with AI platforms for data analytics and enhancing ATE structural test coverage is a significant plus.
CUDA
OpenGL
NVIDIA GPUs
NVIDIA NVLink
NVIDIA InfiniBand
HBM
GDDR
System Reliability
Server RAS Features
Enterprise Platforms
High-Speed Interconnects
Board Development Concepts
Program Management
Root-Cause Analysis
Problem Solving
Debugging