Test Methodology Engineer

Posted 23 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
100K-207K Annually
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and support automated test equipment programs for next-generation GPUs and AI server products. Responsibilities include ATE test method coding, debugging, scripting and automation, production transfer, yield and test coverage improvement, capacity optimization, and cost reduction. The engineer will collaborate with product development, DFT, IC design, and global manufacturing teams to diagnose failures and implement solutions.
Summary Generated by Built In

We are looking for a creative and experienced ATE Test Engineer. NVIDIA has continuously reinvented itself over three decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing — with the GPU acting as the brains of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.

We need a creative individual who will help transfer GPU gaming and compute products from design engineering to mass production. You will be exposed to various aspects of building and testing NVIDIA products, from GPUs to assembled boards. In addition, your responsibilities will include working with overseas manufacturing teams to increase yields, test coverage and capacity, and reduce production costs. If you are passionate about building the highest quality server products that will change the world, then we really want to hear from you.

What you'll be doing:

  • Define, develop, implement, and support ATE test program solutions for the next generation of GPUs and AI server products.

  • ATE test method code development and debugging

  • Scripting and automation tools development and debugging

  • Actively participate in cross function team including Product Development Engineering, DFT, and IC design to efficiently debug any product failures and implement optimal solutions

What we need to see:

  • Completion of 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

  • Have knowledge in Advantest 93K ATE platform is essential

  • Experienced with Linux, and programming languages such as C/C++/Java and/or Perl/Python

  • Good communication skills and works well in a group environment and with cross functional teams that spans across continents

  • 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 the AI in ATE testing is a plus and make you standout.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 166,750 USD for Level 2, and 132,000 USD - 207,000 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 1, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • Bachelor’s degree or higher in Electrical Engineering, Computer Engineering, or equivalent experience
  • 3+ years of relevant semiconductor industry experience
  • Knowledge of silicon verification, testing, and manufacturing
  • Knowledge of the Advantest 93K ATE platform
  • Experience with Linux
  • Programming experience with C, C++, Java, Perl, and/or Python
  • Strong communication and cross-functional collaboration skills
  • Experience with SRAM testing
  • Familiarity with 2.5D or MCM assembly
  • Understanding of DFT insertion techniques, including SCAN, ATPG, MBIST, and IOBIST
  • Knowledge of system-level testing and validation
  • Experience utilizing AI in ATE testing

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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