Senior ATE Hardware Engineer

Sorry, this job was removed at 08:13 p.m. (CST) on Friday, May 30, 2025
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Santa Clara, CA
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

We are looking for a creative PCB Design Engineer for the ATE test platform. 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 with the design of ATE production and characterization boards for all our products. 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 vendors to evaluate new components and/or design processes to increase test coverage and reduce 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:  

  • Design ATE production loadboards and other evaluation boards for characterization  

  • Work closely with the test engineers and vendors to resolve component and board fabrication and assembly issues  

  • Participate in conferences and keep abreast of industry trends  

  • Actively participate with cross functional teams including design, SI, high speed characterization, DFT, and ATE test to implement effective test solutions  

What we need to see:  

  • BSEE or higher with focus on RF/communication or equivalent experience 

  • 8+ years of relevant experience in ATE board design  

  • Experience working with SI/PI teams to improve performance of high frequency signals  

  • Proficiency in Excel with working knowledge of Cadence Allegro, SPICE, PCB impedance calculator and Perl  

  • Critical thinking, good communication and collaboration skills  

  • Excellent debugging, analytical and technical writing skills  

Ways to stand out from the crowd:  

  • Experience with Advantest 93k board design

  • Experience with SI/PI simulation flows and tools  

  • Familiar with multilayer PCB with complex high speed digital signal routing  

  • Strong capability to drive projects and finish qualified design on time 

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. 

#LI-Hybrid 

The base salary range is 152,000 USD - 247,250 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.

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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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