NPI System Product Engineer

Reposted 24 Days Ago
Be an Early Applicant
Yokneam
In-Office
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves yield analysis monitoring, troubleshooting production issues, maintaining product quality, and collaborating with teams for product improvements.
Summary Generated by Built In

NVIDIA Networking division is looking for an excellent NPI System Product Engineer!

 

NVIDIA Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading solutions that include adapter cards, switches, cables and software to support networking technologies. Our products optimize data center performance and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of markets including high performance computing, enterprise, data centers, cloud computing, big data and Web 2.0. We are constantly reinventing ourselves to stay ahead of the market and bring groundbreaking products and services to the industry.

 

What you'll be doing:

  • Conducting yield analysis monitoring and continues improvement for NPI and mass production lines.

  • Performing troubleshooting and comprehensive root cause analysis for production issues to ensure flawless operations.

  • Maintaining product quality by improving test stability, coverage, and the design and manufacturing process.

  • Collaborating with cross-functional teams to successfully implement new product introductions and improvements.

     

What we need to see:

  • B.Sc. in Electrical Engineering.

  • 4+ years of relevant experience in product engineering, failure analysis/debug, or HW/test design.

  • Proven hands-on experience in HW debugging.

  • Strong problem-solving abilities with a diligent approach.

  • Outstanding interpersonal and communication skills in English.

  • Ability to thrive in a collaborative and dynamic environment.

 

Ways to stand out from the crowd:

  • Demonstrated experience with data/yield analysis.

  • Background in test design and HW lab equipment.

  • Experience working within a manufacturing environment.

  • Basic programming knowledge (C, Perl, Python) in a Linux environment.

NVIDIA has some of the most talented and forward-thinking individuals in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.

Top Skills

C
Linux
Perl
Python
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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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