Senior System Design Test Architect

Reposted 5 Days Ago
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Yokneam
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead the Systems HW testability definition, oversee optimal product testing, and ensure compliance with DFT requirements while working closely with engineering teams.
Summary Generated by Built In

NVIDIA’s Product Engineering group is looking for a well experienced Test architect to join our family and be a part of System Product Engineering. The System Product Engineering team is responsible to assure that NVIDIA’s customers will get the best state of the art high-quality products.

The teams are involving and part of the full product lifecycle from architecture definition trough development till the product will be EOL (end of life). As part of the effort mentioned above, we are looking for an Electronic Engineer to join the System Design Testing Architecture team and lead Systems HW testability definition for NVIDIA’s Networking systems.

What you’ll be doing:

  • Leading optimal products testing definitions includes: HW, SW, FW, Mechanical fixtures, and cables/harnesses for customized production testing set ups.

  • Making pitches in front of large audience a new product testing architecture, DFT and testing method while providing justifications for the testing concept.

  • Responsible for product testing maximum coverage, Testing specification documents and production test flow process for each system

  • Working with Company’s engineering team during the developing process of the product from pre-design trough the design and influence on the product design from DFT – design for testability aspects.

  • Supporting production ramp up and scalability, lead and fast responding time for ECR/ECO implications.

  • Examine New Technologies, testing capabilities and their implementation for the next generation products

  • Ensure testing set ups and coverage are met the DFT requirements and timetable

  • Lead DFT Risk assessment and drive mitigations to reduce the risks.

  • Working closely with variety of teams: R&D, HW and SW, Chip design, Operations, thermal, signal integrity, FW and SW, layout, and more

  • The position combines understanding of HW, SW, system manufacturing processes.

What we need to see:

  • BSc, MSc Electrical Engineering (or equivalent)

  • Integration capabilities of self-task management, vast electronic knowledge, production and testing process knowhow.

  • Background in working with contract manufacturers and suppliers

  • Solid understanding of signal integrity concepts and their implications on DFT and high-speed testing.

    Familiarity with SERDES architecture and high-speed interface testing.

  • Minimum 5 years of experience as a DFT engineer at chip/system level, as Board Design engineer or as system architect

  • Management and follow up till completion of multi-functional and personal tasks.

  • Personal skills: proactive and self-instruction, good interpersonal relationship, multitasking, well organized and a quick learner.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!

We are 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

Electronic Engineering
Fw
Hw
Serdes Architecture
Signal Integrity Concepts
Sw
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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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