ATE Test Engineer

Posted 8 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
132K-207K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop, implement, and support ATE test programs for GPUs and assembled boards; debug test code and automation scripts; collaborate with product, DFT, and IC design teams; work with manufacturing to improve yield, test coverage, capacity, and reduce production costs.
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 NV advanced chips.

  • 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:

  • Bachelor's degree or higher in Electrical Engineering/Computer Engineering (or equivalent experience).

  • 5+ years of relevant work experience in the semiconductor industry.

  • Knowledge of silicon verification, testing and manufacturing

  • Knowledge of Silicon Photonics, CPO and optical engine and high speed IO.

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

With competitive salaries and a generous benefits package, we are widely considered to be one of the technological world’s most desirable employers; we have some of the most forward-thinking and hardworking people in the world working for us and, due to unparalleled growth, best-in-class teams are rapidly growing. If you’re creative and autonomous with a real passion for your work, 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 132,000 USD - 207,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 12, 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 or Computer Engineering (or equivalent experience).
  • 5+ years of relevant work experience in the semiconductor industry.
  • Knowledge of silicon verification, testing and manufacturing.
  • Knowledge of Silicon Photonics, CPO, optical engine and high-speed I/O.
  • Knowledge of Advantest 93K ATE platform.
  • Experience with Linux.
  • Proficiency in programming/scripting languages such as C/C++, Java, Perl, or Python.
  • Good communication skills and ability to work with cross-functional, international teams.
  • 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.
  • Experience or ability to utilize 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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