This role pays more than
50%
of similar roles. Most pay
$146,000–$208,250
— the shaded band above.
At the midpoint, this role pays about
$174k
versus about
$177k
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 System Level Product Development Engineer on the System Level Product Engineering team, you will tackle complex testing challenges and develop new methodologies for reliable chip testing at SLT. Your daily responsibilities include characterization, yield enhancement, and specification validation while collaborating with ASIC, DFT, ATE, silicon validation, fab process, software, and quality teams to resolve silicon issues. You will initiate process improvements through root cause analysis and optimize workflows across multi-functional groups. The role requires proficiency in Python for large scale data analysis, along with knowledge of PC architecture, PCIe buses, and DRAM/DDR. Experience with HBM or GDDR memory is also beneficial. This position focuses on the technical challenge of providing system level diagnosis, verification, and post-silicon validation for some of the industry's most complex semiconductor chips to ensure high-quality hardware performance.
Python
Bash
Test Automation
post silicon validation
Diagnostic Software
Manufacturing Test
Test Fixtures
Test Strategies
Scripting
Data Center
GPU
Electrical Engineering
Computer Engineering