ATE Test Engineer

Posted 5 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
132K-253K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develops and ports IC test vectors, patterns, software, and diagnostic flows for Advantest and Teradyne ATE platforms. Converts simulation data into functional, scan, and structural tests to reproduce failures and support root-cause isolation. Collaborates with failure analysis, design, and test-floor teams; optimizes tester performance and signal integrity; and designs custom load boards, probe cards, and DUT interfaces. Requires strong scripting, digital vector debugging, IC failure-analysis, fault-localization, and yield-analysis experience.
Summary Generated by Built In

As one of the technology industry's most desirable employers, NVIDIA is an industry leader in high-performance computing, gaming and AI. NVIDIA's GPUs are extraordinary in performance and efficiency, and we are continually innovating in creative ways to deliver outstanding solutions in a wide range of sectors.

This is a Test Engineer position supporting the Integrated Circuit Defect Analysis (FA) team. The engineer will enable tailored test equipment and software for the Advantest PS5000 and the Teradyne UltraFLEXPlus (UF+) platforms, while working closely with the product TE team and be embedded in the FA team. You will bridge the gap between design, automated test equipment (ATE), and IC failure analysis. You are responsible for co-developing specialized test equipment, adapting FA methodologies, and crafting test scripts that enable diagnostics and root-cause isolation on advanced, high-performance silicon.

What you’ll be doing:

  • Port and develop test vectors, patterns, and software on the Advantest V93000 system, specifically the PS5000 module, as well as Teradyne UltraFLEXplus platforms.

  • Convert design simulation data (e.g., VCD, EVCD, STIL) into functional, scan, and structural test patterns to recreate IC failures on the tester.

  • Partner with FA engineers, design teams, and test floor technicians to translate physical FA steps like ATE-assisted EMMI or OBIRCH into reproducible, electrical test flows.

  • Improve turnaround time from device failure to root cause by optimizing tester hardware bandwidth, signal integrity, and diagnostic software flows.

  • Design, prototype, and validate custom test hardware (e.g., specialized load boards, probe cards, and device-under-test (DUT) interfaces) for FA setups.

What we need to see:

  • B.S. or M.S. in Electrical Engineering, Computer Engineering, or a related technical field, or equivalent experience.

  • 5+ years of hands-on experience with Advantest V93000 (PS5000) (SmarTEST 8 environment) and Teradyne UltraFLEXplus (IG-XL software).

  • Proficiency with script automation (Python, C++, or Perl) and digital vector processing/debug.

  • Familiarity with IC FA flows, failure isolation, electrical fault localization, and yield analysis.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, with a genuine 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 132,000 USD - 207,000 USD for Level 3, and 152,000 USD - 253,000 USD for Level 4.

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 or master’s degree in Electrical Engineering, Computer Engineering, a related technical field, or equivalent experience
  • 5+ years of hands-on experience with Advantest V93000 and PS5000 using the SmarTEST 8 environment
  • 5+ years of hands-on experience with Teradyne UltraFLEXPlus using IG-XL software
  • Proficiency with script automation using Python, C++, or Perl
  • Proficiency in digital vector processing and debugging
  • Familiarity with IC failure-analysis flows, failure isolation, electrical fault localization, and yield analysis

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.

NVIDIA Insights

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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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