System Level Product Development Engineer

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $136,000–$212,750 / yr
Posted: 142 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $177k

This role $174k

$127k most similar roles pay here $222k

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.

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At a glance

TL;DR · System Level Product Development Engineer

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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 the reliable testing of some of the industry's most complex semiconductor chips. 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 for system level diagnosis, verification, and post-silicon validation. The role requires proficiency in Python for large scale data analysis and a strong background in hardware systems. Preferred expertise includes HBM/GDDR memory and Power, Speed, Noise, and Thermal characterization to solve critical technical problems within the semiconductor product lifecycle.

Skills

Python HBM GDDR Post-silicon Validation Characterization Yield Enhancement Root Cause Analysis ASIC DFT ATE Data Analysis

What you'll do

Solve complex testing challenges and develop new methodologies for reliable chip testing at SLT.
Perform characterization, yield enhancement, and specification validation for semiconductor chips.
Coordinate with cross-functional engineering teams to resolve silicon issues.
Initiate and drive process improvements through root cause analysis.
Improve workflows, products, functions, and methodologies to achieve company goals.
Conduct large-scale data analysis using Python.
Perform Power, Speed, Noise, and Thermal characterization for memory and chips.

What we're looking for

BSEE or MSEE degree (or equivalent experience).
5+ years of relevant product engineering work experience or similar hardware systems background.
Strong technical, interpersonal, written, and oral communication skills.
Proven problem-solving ability and experience.
Proficiency in Python for large scale data analysis.
Experience with HBM/GDDR memory is a plus.
Experience with Power, Speed, Noise, and Thermal characterization is a plus.

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