Senior Process Engineer

Reposted Yesterday
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Yokneam
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Process Engineer at NVIDIA will create and optimize optical assembly procedures, lead projects, and support high-volume manufacturing in the semiconductor and optics industries.
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. Come join the team and see how you can make a lasting impact on the world. As an Optical Assembly Process Engineer, you become part of the NVIDIA R&D team, and you will be working on the forefront of the communication technology, building the interconnection infrastructure for the Sophisticated Computing and Artificial Intelligence revolution.

What you'll be doing:

  • Create and optimize advanced optical assembly procedures and recipes.

  • Work with cross-functional and multidisciplinary teams, including machine vendors, mechanical, electrical, and software engineers.

  • Develop, customize, and qualify complex automated assembly systems.

  • Establish new assembly methodologies using novel equipment and processes.

  • Lead process failure analysis and continuous improvement initiatives.

  • Prepare and execute Process Transfer packages for high-volume manufacturing and support production ramp-up.

  • Lead projects from concept to implementation and qualification, managing schedules, priorities, and team coordination.

  • Ensure methodical, data-driven, and well-documented execution throughout all stages of the project.

What we need to see:

  • B.Sc. or M.Sc. in Material Science and engineering/Opto-Mechanical engineering/Physics/Mechanical engineering/Electrical engineering

  • 5+ years experience in R&D department or process engineering in the semiconductor, optics, or PCB industry.

  • High capability and understanding of machine software and recipes as well as process integration.

  • Self-managed, initiative and innovative.

  • Superior problem-solving and presentation skills.

  • Teamwork player as well as a sole worker.

  • Strong attention to details.

  • High level of written and verbal communication in Hebrew and English.

  • Traveling abroad with frequency of one week in a quarter.

Ways to stand out from the crowd:

  • Previous experience in R&D teams in semiconductor or optical communication industries.

  • Proven experience and deep knowledge in precise assembly machines

  • Good understanding and/or modeling skills of optical devices and phenomena (Zemax or equivalent SW tools). 

  • Programming skills

NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the most talented and forward-thinking individuals in the world working for us. If you’re creative, data-driven, and eager to build LLM-powered tools that transform hardware engineering, we want to hear from you!

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We highly value diversity in our current and future employees and 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

Optical Communication Technology
Optical Devices
Pcb Technology
Programming
Semiconductor Technology
Zemax
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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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