We are looking for a creative ATE Test Development Engineer. NVIDIA has continuously reinvented itself for three decades. Our invention of the GPU in 1999 fueled 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 motivated 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 GPU/Tegra/Automotive 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:
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Define, develop, implement, and support ATE test program bringup, characterization and production for our latest GPU/Tegra/Automotive products.
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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.
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Own test methodologies and strive for continuous improvement of production test program quality/efficiency
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Actively participate with cross functional teams including Product Development Engineering, DFT, and IC design to efficiently debug product failures and implement optimal solutions.
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Write and maintain scripts/tools for the test engineering group, enhance the group’s overall productivity and effectiveness
What we need to see:
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Bachelor Degree or higher in Electrical Engineering/Computer Engineering (or equivalent experience).
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3+ years of relevant experience in IC Design, application or ATE testing of VLSI.
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Working knowledge and hands-on experience with Advantest 93K ATE platform (SmarTest 7 and 8) are essential
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Critical thinking, good communication and collaboration skills
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Excellent debugging and analytical skills
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Understanding of DFT insertion techniques including SCAN, ATPG, MBIST and IOBIST.
Ways to stand out from the crowd:
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Analog circuit design, PLL’s
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System level testing/validation
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Knowledge of active thermal management
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Product engineering experience, such as yield analysis, vmin/fmax characterization, defect analysis
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Linux operating systems, and programming languages such as Perl/Python and/or C/C++, Java
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 thoughtful and talented people in the world 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 want to hear from you.
The base salary range is 124,000 USD - 235,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse 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.
Top Skills
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.”
