Senior Reliability Product Engineer

Reposted 16 Days Ago
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Yokneam
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Responsible for overseeing the reliability of Network IC products from design to mass production, focusing on product risk assessment and reliability tests.
Summary Generated by Built In

We are looking for a creative and independent Reliability Product owner. NVIDIA Networking unit has continuously reinvented itself over two decades. Our high-speed buses & network products are leading in the markets with innovative ways to improve speed and bandwidth from one generation to another. Today, NVIDIA is increasingly known as the place for getting “End-to-End High-Speed Ethernet and InfiniBand Solutions” We're looking to grow our company and build our teams with people who can join us at the forefront of technological advancement. We need a creative individual who will help transfer Network Silicon ICs products (Switch, NIC, SmartNic) from design engineering to mass production while ensuring meeting NVIDIA milestones at high quality and reliability.

You will be exposed to various aspects of product qualification and will be responsible for integrating all future Network IC products reliability activities, from product risk assessment, failure mechanisms and reliability tests. You will define and prioritize the reliability milestones and drive the required activities to meet NVIDIA compony goal. Your work will include multiple interfaces and phases from foundry through hardware, testing and quality & reliability Milestones requirements. If you are passionate about enabling of the highest quality Network products that will change the world, we want to hear from you!

What you'll be doing:

  • Prepare gap analyses and risk assessment based on Silicon and package product related features

  • Prepare JEDEC based qualification plan for product reliability

  • Interact with Hardware, Test Engineering, External vendor, NPI team to plan and lead all product aspects of reliability

  • Apply trade-offs for material and schedule where necessary based on deep understanding of the product

  • Problem solving leadership and re-planning as necessary

  • Product parameters analysis and debug as necessary

  • Monitor and supervise program progress to pre-defined milestones

What we need to see:

  • B.Sc. degree in Material/ Chemical/ Electrical/ Physics/Computer engineering, Computer Science or equivalent

  • 5+ years of experience with IC Reliability

  • Familiarity with IC testing

  • Familiarity with reliability failure modes (package & Silicon) & FA processes

  • Good communication skills with diverse teams and functional groups

  • Strong problem-solving skills and methodical thinking

  • Curious, inquisitive, detail-oriented, leader

  • Multi-tasking capabilities, high self-learning skills, and independence level

Ways to stand out from the crowd:

  • Knowledge of IC DFT

  • Knowledge of testers and hands-on IC testing

  • Experience with the semiconductor manufacturing process

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family. 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

Fa Processes
Ic Testing
Reliability Failure Modes
Semiconductor Manufacturing
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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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