Senior DFX Infrastructure Engineer

Nvidia

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $196,000–$310,500 / yr
Posted: 49 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k

This role $253k

$111k most similar roles pay here $332k

This role pays more than 96% of similar roles. Most pay $138,337–$200,000 — the shaded band above. At the midpoint, this role pays about $253k 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 985 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 971 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior DFX Infrastructure Engineer

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Join NVIDIA's DFX group as a Senior DFT Infrastructure Engineer, contributing to the development of next-generation scalable tools and workflows for silicon bringup and failure analysis teams. Your day-to-day will involve building, testing, and deploying internal infrastructure tools for ATE test vector release and fail analysis flows, developing regression tests, integrating new features into existing tools, and resolving tool bugs. Ideal candidates have over 10 years of relevant experience with deep knowledge in ATE systems like Advantest 93k or Teradyne Ultraflex, along with strong Perl and Python scripting skills. Familiarity with SSN scan architecture and diagnostics flow is essential, as is the ability to debug internal codebases independently while collaborating effectively across teams. NVIDIA's cutting-edge technology supports global innovation in fields such as AI and datacenter networking, making this role a key part of advancing groundbreaking compute platforms worldwide.

Skills

Perl Python C++ Advantest 93k Teradyne Ultraflex AI assistant tools SSN scan architecture Diagnostics flow

What you'll do

Build and deploy internal infrastructure tools for ATE test vector release and fail analysis.
Develop regression testcases to ensure tool flow robustness.
Support silicon bringup teams to achieve Bringup success.
Integrate new features into existing tools and resolve bugs.
Debug the internal code base independently and effectively.

What we're looking for

10+ years of relevant experience in DFT or equivalent role
In-depth knowledge of ATE systems (Advantest 93k preferred)
Strong Perl and Python scripting skills; C++ knowledge beneficial
Proven ability to develop, debug, and maintain internal tools
Experience building regression test cases for flow robustness
Ability to independently work on projects and collaborate effectively
Familiarity with SSN scan architecture and diagnostics flow

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