Job description

We are looking for a creative ATE Test Engineer. NVIDIA has continuously reinvented itself for three decades. In 1999, we invented the GPU, which fueled PC gaming market growth. It also redefined computer graphics and changed parallel computing. The GPU acts as the brains for computers, robots, and autonomous vehicles that 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, Tegra and Automotive products from design engineering to mass production. You will be exposed to various aspects of building and testing NVIDIA products, from chips to assembled boards. In addition, your responsibilities will include working with overseas manufacturing teams to increase yields, test coverage and capacity, and reducing production costs. If you are passionate about building the highest quality 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 bringup, characterization and production for our latest GPU/Tegra/Automotive products. • ATE test program development includes constructing or enhancing test methods, debug and integration of timings/levels/patterns/TM and test flow into a test program. • Own test methodologies and strive for continuous improvement of production testprograms quality/efficiency. • Demonstrate good understanding of LB schematics and design to aid debug. • Actively participate with cross functional teams including Product Development Engineering, DFT, and IC design to efficiently debug product failures and implement optimal solutions. • Write and maintain scripts/tools for the test engineering group, enhance the group’s overall productivity and effectiveness What we need to see: • Bachelor Degree or higher in Electrical Engineering/Computer Engineering (or equivalent experience). • 2+ years of relevant experience in IC Design, application or ATE testing of VLSI. • Working knowledge and hands-on experience with Advantest 93K ATE platform (SmarTest 8) is essential • Critical thinking, good communication and collaboration skills • Excellent debugging and analytical skills • Understanding of DFT insertion techniques including SCAN, ATPG, MBIST and IOBIST. Ways to stand out from the crowd: • Knowledge of active thermal management • Product engineering experience, such as yield analysis, vmin/fmax characterization, defect analysis • Ability and desire to work in a highly collaborative, fast-paced team environment • Teradyne UFlex experience • Experience with AI-assisted workflow using Cursor, Claude and ChatGPT to enhance efficiency of everyday work With competitive salaries and a generous benefits package, NVIDIA is widely regarded as one of the most sought-after employers in the technology sector. We have some of the most thoughtful and dedicated individuals across the globe working for us. 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 would love to connect with 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 June 20, 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.

Requirements

Must-haves

Define, develop, implement, and support ATE test program bringup, characterization and production for our latest GPU/Tegra/Automotive products.
ATE test program development includes constructing or enhancing test methods, debug and integration of timings/levels/patterns/TM and test flow into a test program.
Own test methodologies and strive for continuous improvement of production testprograms quality/efficiency.
Demonstrate good understanding of LB schematics and design to aid debug.
Actively participate with cross functional teams including Product Development Engineering, DFT, and IC design to efficiently debug product failures and implement optimal solutions.
Write and maintain scripts/tools for the test engineering group, enhance the group’s overall productivity and effectiveness
Bachelor Degree or higher in Electrical Engineering/Computer Engineering (or equivalent experience).
2+ years of relevant experience in IC Design, application or ATE testing of VLSI.
Working knowledge and hands-on experience with Advantest 93K ATE platform (SmarTest 8) is essential
Critical thinking, good communication and collaboration skills
Excellent debugging and analytical skills
Understanding of DFT insertion techniques including SCAN, ATPG, MBIST and IOBIST.
Knowledge of active thermal management
Product engineering experience, such as yield analysis, vmin/fmax characterization, defect analysis
Ability and desire to work in a highly collaborative, fast-paced team environment
Teradyne UFlex experience
Experience with AI-assisted workflow using Cursor, Claude and ChatGPT to enhance efficiency of everyday work
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until June 20, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: eightfold
Effort: medium