Test Methodology Engineer

Nvidia

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Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $100,000–$166,750 / yr
Employment: Full-time
Posted: 60 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $159k

This role $133k

$89k $206k

below market most similar roles pay here above market

This role pays less than 68% of similar roles. Most pay $123,018–$194,500 — the blue band above. At the midpoint, this role pays about $133k versus about $159k 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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Test Methodology Engineer

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The Test Methodology Engineer will join the team to help transfer GPU gaming and compute products from design engineering to mass production. The role involves defining, developing, and supporting ATE test program solutions for next-generation GPUs and AI server products. Day-to-day responsibilities include ATE test method code development, debugging, and creating scripting and automation tools. The engineer will collaborate with cross-functional teams in Product Development Engineering, DFT, and IC design to debug product failures and implement optimal solutions. Required technical skills include experience with the Advantest 93K ATE platform, Linux, and programming languages like C/C++, Java, Perl, or Python. Candidates must understand silicon verification, manufacturing, DFT insertion techniques like SCAN and MBIST, and SRAM testing within 2.5D or MCM assembly contexts.

Skills

ATE Advantest 93K C C++ Java Python Perl Linux DFT SCAN ATPG MBIST IOBIST SRAM Testing 2.5D MCM Silicon Verification IC Design Scripting Automation

What you'll do

Define, develop, and support ATE test program solutions for next-generation GPUs and AI server products.
Develop and debug ATE test method code and scripting automation tools.
Work with overseas manufacturing teams to increase yields, test coverage, and capacity.
Reduce production costs while transferring products from design engineering to mass production.
Debug product failures and implement optimal solutions with cross-functional engineering teams.
Perform silicon verification, testing, and manufacturing processes for semiconductor products.
Implement DFT insertion techniques including SCAN, ATPG, MBIST, and IOBIST.

What we're looking for

Completion of a bachelor's degree or higher in Electrical Engineering/Computer Engineering or equivalent experience.
3+ years of relevant work experience in the semiconductor industry.
Knowledge of silicon verification, testing, and manufacturing.
Knowledge of Advantest 93K ATE platform is essential.
Experience with Linux and programming languages such as C/C++/Java and/or Perl/Python.
Experience with SRAM testing and familiarity with 2.5D or MCM assembly.
Understanding of DFT insertion techniques including SCAN, ATPG, MBIST, and IOBIST.
Knowledge of system level testing/validation is a plus.
Utilizing AI in ATE testing is a plus.