This role pays more than
80%
of similar roles. Most pay
$140,062–$197,899
— the shaded band above.
At the midpoint, this role pays about
$213k
versus about
$169k
for comparable roles.
Based on 240 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
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
As a Product Development Engineer on the Operations Product Development Engineering GPU Team, you will focus on productizing chips for consumer, professional, and datacenter markets. You will lead failure analysis of ATE-related escapes, determine root causes, and drive corrective actions into wafer sort and package test. Your daily work involves identifying discrepancies between ATE, SLT, and BLT results while defining guard bands and test methodologies to reduce downstream fallout. You will collaborate with cross-functional teams to address DFX and ATE coverage gaps by influencing chip-level hooks and observability features. To solve yield limiters and quality risks, you will build AI and data-analytics-driven workflows. Required skills include experience with Verigy 93K testers, Python, C, C++, and statistical modeling using JMP software. You must possess strong communication skills to manage end-to-end fallout across manufacturing processes.
NPI
Wafer Sorting
Yield Analysis
CAD
JMP
ATE
Advantest V93000
AI
Machine Learning
GPU
Software Development
Programming Languages
Failure Analysis
Product Development Engineering (PDE)
Datacenter Systems
CPU
GPU
AI
Machine Learning
High-Performance Computing
Linux
Unix
Python
Bash
Firmware
PCIe
Networking
Memory
Power Delivery
Thermal Management
System Architecture
Validation
Debugging
Manufacturing Engineering