Senior Hardware Test Engineer

Posted 7 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
132K-253K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead development, debugging, and management of global hardware farm infrastructure for silicon validation. Create test plans and automation, perform HW/SW debugs (PCBs, voltage regulators, OS, drivers, firmware), coordinate global teams, implement monitoring/alerting, analyze performance metrics, and drive infrastructure optimizations.
Summary Generated by Built In

NVIDIA is seeking a Senior Hardware Test Engineer to build, debug, and manage global HW infrastructure for silicon validation. The complex nature of the hardware creates challenging problems. Therefore, someone with a solid understanding and innovative thinking is required to perform critical system debugs. As part of the Silicon Co-design Group, we are responsible for productizing NVIDIA's chips into groundbreaking consumer, professional, server, mobile, and automotive solutions.

What You Will Be Doing:

  • Oversee the functionality of Hardware Farm, a large collection of GPU, SoC, and CPU systems unified by SW, and perform HW and SW debugs involving PCBs, Voltage Regulators, OS, Drivers, Firmware, etc.

  • Create test plans and scripts to run sanity checks on farm systems, ensuring HW and SW integrity while working with multiple SW tools involved in automation to identify and fix any infrastructure or script issues

  • Coordinate with the global farm team and silicon validation teams to ensure the timely availability of farm systems by resolving technical challenges and driving critical debugs by pulling in resources within and outside the team

  • Collaborate with the Farm-Development team and location-based PIC to enhance the farm process and infrastructure

  • Apply proactive problem-solving abilities to address issues in the farm infrastructure and drive to closure

  • Lead the development and implementation of automated monitoring and alert systems to detect and address farm issues in real-time.

  • Analyze farm performance metrics and trends to identify opportunities for optimization and future growth, driving strategic improvements.

What We Need to See:

  • B.E/B. Tech in ECE or equivalent experience with 5+ years of experience in the HW/Silicon domain

  • In-depth knowledge of various motherboard platforms, SoCs, PC Hardware and components, network connections

  • Seeking strong expertise in diverse operating systems, emphasizing profound knowledge of Linux OS internals and scripting capabilities (Python, Perl, and TCL)

  • Excellent coordination and interpersonal skills to effectively convey technical information and collaborate across global teams

  • Excellent problem-solving abilities to address complex hardware and software issues in the lab and farm infrastructure

  • Strong leadership skills with the ability to mentor and guide team members, nurturing a collaborative and growth-oriented environment

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you to join our team, alongside some of the hardest-working people in the world, as we work together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD for Level 3, and 152,000 USD - 253,000 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 8, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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

  • B.E/B.Tech in ECE or equivalent experience with 5+ years in the HW/Silicon domain
  • In-depth knowledge of motherboard platforms, SoCs, PC hardware and components, and network connections
  • Strong expertise in Linux OS internals
  • Scripting capabilities in Python, Perl, and TCL
  • Experience debugging PCBs, voltage regulators, OS, drivers, and firmware
  • Experience creating test plans, automation scripts, and automated monitoring/alert systems
  • Excellent coordination, interpersonal, leadership, mentoring, and problem-solving skills

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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