Senior System Design Test Architect

Posted One Month Ago
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Yokneam, ISR
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead system-level hardware testability architecture for NVIDIA networking products across the product lifecycle. Define hardware, software, firmware, fixtures, and cabling test solutions; maximize test coverage; create specifications and production test flows; present testing architectures; support production ramp-up and engineering changes; assess DFT risks; and coordinate cross-functional teams, contract manufacturers, and suppliers.
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 using the below:

  • Development and deployment of automatic testers for NVIDIA’s network business units (Computing network adapters and High-speed switch systems) including hardware and software

  • Analyzing and monitoring the manufacturing data and find / prevent quality issues based on big data using Machine learning, statistical tools, and AI (artificial intelligence)

  • Leading smooth production and capacity enlargement

  • Failure analysis of return material from customers to understand the reason of failures.

  • Validate the test performance and stability using QA (V&V – validation and verification) methods

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.

What we need to see:

  • BSc, MSc Electrical Engineering

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

  • Background in working with contract manufacturers and suppliers

  • 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.

Skills Required

  • Bachelor’s or master’s degree in Electrical Engineering
  • At least 5 years of experience as a DFT engineer at chip or system level, board design engineer, or system architect
  • Extensive electronics knowledge
  • Knowledge of production and testing processes
  • Experience working with contract manufacturers and suppliers
  • Ability to manage and follow up on multifunctional and individual tasks through completion
  • Self-management, proactive behavior, organization, multitasking, interpersonal skills, and ability to learn quickly

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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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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