below marketmost similar roles pay hereabove market
This role pays more than
66%
of similar roles. Most pay
$159,750–$226,000
— the blue band above.
At the midpoint, this role pays about
$213k
versus about
$193k
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
1531 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1104 roles with salary data.
JOB TITLE: Senior Product Engineer - Datacenter
As a Senior Product Engineer - Datacenter, you will join the engineering team to launch new AI Supercomputing Platforms into production. You will support new GPU hardware in mass production by planning processes, defining test requirements, and optimizing production lines to deliver new GPU boards. Your daily work involves collaborating with NPI teams and contract manufacturers to manage production ramps, ensuring compliance with DFx requirements for signal integrity, and developing test specifications for system level manufacturing screens. You will use volume data analysis and lab experimentation to solve yield problems and drive BOM updates. The role requires expertise in GPU and CPU development, system architecture, high-speed interconnects, memories like HBM and GDDR, system reliability, server RAS features, statistics, timing analysis, and fault analysis.
What does a Product Engineer earn in California?
Median $195250 from 30 postings across 5 companies.
Plan and establish manufacturing processes to launch new AI Supercomputing Platforms into production.
Define test requirements and specifications for system-level manufacturing screens to ensure hardware coverage.
Optimize production lines and assembly fixtures to achieve best-in-class cost and throughput metrics.
Drive compliance with DFx requirements for signal integrity regarding layout, mechanical components, and assembly.
Analyze volume data and conduct lab experiments to solve challenging yield and test problems on the production floor.
Manage alternate component qualifications and maintain accurate Bill of Materials (BOM) updates.
Lead continuous improvement efforts to minimize waste and meet specific test time and DPPM requirements.
Support customer-facing teams by identifying and fixing coverage gaps during technical escalations.
What we're looking for
BS or MS degree in EE/CE or equivalent experience.
8+ years of relevant industry experience.
Strong EE fundamentals.
Knowledge and experience in GPU and/or CPU development, design, system architecture, high-speed interconnects, memories, system reliability, and server RAS features.
Knowledgeable in statistics, timing analysis, and fault analysis.
Strong communication, organization, and logical problem-solving skills.
GPU Technology
System Architecture
Signal Integrity
Digital Design
Fault Analysis
Timing Analysis
C/C++
Perl
Linux
Windows
DFx
high speed networks
Volume Data Analysis
Computer Architecture
GPU Technology
Signal Integrity
Digital Design
Computer Architecture
Fault Analysis
Timing Analysis
C/C++
Perl
Linux
Windows
DFx
high speed networks
Volume Data Analysis