Senior Production Test Engineer

Reposted Yesterday
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Santa Clara, CA
In-Office
184K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves engaging in new product integration, coordinating NPI engineering, planning capacity for production, and supporting NPI Lab activities.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for a Sr. Engineer, Manufacturing Operations, located at our Corporate Headquarters in Santa Clara, CA.

What You Will Be Doing:

  • Engage in new product ATE New Product Integration (NPI) preparation, including Software and Hardware

  • Coordinate and prepare the capacity for NPI engineering and early sample production

  • Plan and lead across functional teams to transitioning from NPI to mass production - NPI CP/FT/BI Capacity

  • Support NPI Lab activities including engineering debug and hardware purchasing, scheduling and planning

  • Advanced Technology Group Support – Process TV (Test vehicle) Testing Support

What We Need To See:

  • Bachelor’s degree in Industrial Engineering, Supply Chain, Operations, or a related field (or equivalent experience); Master’s is a plus

  • 12+ years of relevant experience.

  • Validated expertise in capacity forecasting, and deploying sophisticated planning tools like Anaplan or Ops Data Platform.

  • Strong analytical, problem-solving, and scenario planning skills with the ability to navigate complexity and ambiguity in a fast-paced environment.

  • Effective collaborator and communicator, proven track record to drive cross-functional teams and external manufacturing partners.

Ways to Stand Out From The Crowd:

  • Good experience working with contract manufacturers and leading OSAT engineering teams and initiatives

  • Familiarity with semiconductor or test hardware engineering. This refers to ATE wafer probing and package testing hardware

  • Expertise in wafer probe hardware manufacturing flow and planning

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 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 29, 2025.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

Anaplan
Ops Data Platform
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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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