Hardware Farm Engineer

Posted 4 Days Ago
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka
Mid level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Hardware Farm Engineer at NVIDIA, you will build and manage the global hardware infrastructure for silicon validation, oversee the functionality of the Hardware Farm, debug hardware and software issues, create test plans, and collaborate with global teams to enhance processes. You will also lead the implementation of automated monitoring systems and analyze performance metrics for optimization.
Summary Generated by Built In

NVIDIA is seeking a Hardware Farm Engineer to build, debug and manage global HW infrastructure for silicon validation. The complex nature of the hardware creates interesting challenges. Someone with solid understanding and innovative thinking is required to support meeting critical breakthroughs. As part of the Silicon Solutions Team, 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 which is a large collection of GPU, SoC and CPU systems unified by SW

  • Perform HW and SW debugs involving PCB, Voltage Regulators, OS, Driver, Firmware etc.

  • Create test plans and scripts to run sanity checks on farm system ensuring HW and SW integrity.

  • Coordinate with global farm team and silicon validation teams ensure timely availability of farm systems by resolving technical challenges.

  • Drive critical debugs by pulling in resources within and outside the team.

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

  • Apply proactive problem-solving abilities to address issues in the farm infrastructure and drive towards 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 find opportunities for optimization and future growth, driving strategic improvements.

What We need to See:

  • B.E/B. Tech in ECE or equivalent experience or CSE with 3+ years of experience in the HW/Silicon domain

  • In-depth knowledge of various motherboard platforms, SoCs, PC HW like graphics cards, memory and storage.

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

  • Good HW and SW debug capabilities involving debug methodologies

  • 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.

  • Demonstrated leadership abilities to encourage and guide team members, cultivating a collaborative and encouraging work environment.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation

Top Skills

Perl
Python
Tcl
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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