Senior Hardware Test Engineer

Posted Yesterday
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Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior Hardware Test Engineer will develop manufacturing test solutions for NVIDIA's GPU and CPU based server products, define methodologies across product segments, debug hardware and software issues, and collaborate with various teams to enhance production efficiency.
Summary Generated by Built In

We are looking to hire a Senior Hardware Test Engineer who will work in the Test Solutions Group at NVIDIA developing manufacturing test solutions for Datacenter and Enterprise products. In this role, you will collaborate with other key hardware design teams help enable NVIDIA's next generation GPU and CPU based server products.

NVIDIA has continuously reinvented itself over two decades! Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join our growing team today!

What you will be doing:

  • Define manufacturing hardware test solutions that translate into methodologies and processes applicable across Board and System product segments.

  • Develop test strategies for new product features including identification, specification, design and qualification of test fixtures and test equipment.

  • Write product architecture specifications for new designs and define system-level requirements and specifications for server products for ARM and x86 based solutions.

  • Collaborate with internal and external partners to debug Board and System level issues, including HW Design, Quality, Software Development

  • Investigate and introduce new manufacturing test technology and methodology to improve production efficiency.

  • Help solve deeper server system technical design level issues at every level.

  • Work with other highly experienced domain expert teams at NVIDIA to ensure manufacturing solutions are outstandingly optimized for the highest performance servers in the world.

  • Debug complex hardware and software issues during build phases.

What we need to see:

  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering or a related field (or equivalent experience)

  • 8+ years of proven experience in system-level design and integration of server products from concept to deployment.

  • Solid understanding of x86 server architecture, PCIe, DDR, Infiniband and high-speed interconnects.

  • Basic understanding of BMC (Baseboard Management Controller) architecture, I2C (SMBus), power management and critical system telemetry controls.

  • Familiarity with Linux OS and command line experience.

  • Experience with the latest PCIe Gen4 and Gen5 technical interface challenges.

  • Excellent problem-solving skills, attention to detail, and effective communication skills.

The base salary range is 152,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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

Linux
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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