Senior Hardware Validation Engineer

Nvidia

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $136,000–$212,750 / yr
Posted: 7 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $189k

This role $174k

$126k most similar roles pay here $228k

This role pays less than 63% of similar roles. Most pay $165,969–$212,500 — the shaded band above. At the midpoint, this role pays about $174k versus about $189k 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 · Senior Hardware Validation Engineer

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As a Senior Hardware Validation Engineer on the DGX Server Product Engineering Team, you will work alongside hardware and software engineers to develop and implement complex automated test plans for GPU accelerated computing products. You will own the validation process from start to finish, including test plan development, automation, resource planning, coverage metrics, bug resolution, and production release. Your daily work involves developing system level stress and performance testing strategies using Deep Learning and AI applications while solving hardware and software issues on GPU platforms. Required skills include high speed IO validation, experience with lab instrumentations like Oscilloscopes and Digital Multi Meters, and proficiency in C/C++, JS, and Python. You will collaborate with ODMs and suppliers to ensure coverage for complex systems involving x86 or Arm server architectures and datacenter products.

Skills

GPU C/C++ Python x86 Arm High Speed IO Waveform Analysis Oscilloscopes Performance Testing

What you'll do

Own the full product validation lifecycle from test plan development to production release.
Develop and implement complex automated test plans for GPU accelerated computing products.
Create system-level stress and performance testing strategies using Deep Learning and AI applications.
Resolve complex hardware and software issues on GPU accelerated computing platforms.
Coordinate with ODMs, component suppliers, and QA teams to ensure comprehensive test coverage.
Develop and run real-world workloads and factory diagnosis tools for product validation.
Perform high-speed IO validation and debug complex systems in a hardware lab environment.

What we're looking for

Ability to work on site in a hardware lab environment 5 days a week.
BSEE, BSCE, or equivalent experience.
5+ years of experience in validating and debugging complex systems.
Experience with high speed IO validation.
Proficiency in programming and scripting languages such as C/C++, JS, and Python.
Familiarity with lab instrumentation like Oscilloscopes and Digital Multi Meters.
Deep understanding of computing architectures.
Strong verbal and written communication skills for collaborating across teams and suppliers.

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