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NVIDIA

Designs the chips and software that power AI

Principal Systems Engineer: Datacenter Interconnects and Fabric Health - Datacenter Interconnects and Fabric Health

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • A bachelor's or master's degree in Electrical Engineering, Computer Engineering, or a related field, or equivalent experience.
  • At least 15 years of experience in system-level debugging on data center/server or similar hardware platforms.
  • Deep understanding of system architecture, including CPUs, memory, high-speed I/O, power delivery, thermal management, and firmware.
  • Proven experience debugging electrical issues such as signal integrity and power integrity, thermal issues such as airflow and cooling design, and firmware anomalies such as BIOS/UEFI and BMC.
  • Proficiency with tools such as oscilloscopes, logic analyzers, and firmware debugging equipment or utilities.
  • Strong communication skills and ability to work across fields and teams.

Responsibilities

  • Lead cross-functional debugging of critical system-level issues across hardware and firmware domains, focusing on high-speed interconnects and fabrics.
  • Perform hands-on root cause analysis of failures observed during system validation, production, or in-field operation.
  • Collaborate with electrical, mechanical, and thermal engineers, firmware developers, and manufacturing teams to develop and validate fixes.
  • Develop and implement detailed tests and experiments to identify and recreate intricate issues.
  • Develop tools, scripts, and automation to accelerate debugging workflows.
  • Provide technical guidance and mentoring to cross-functional teams.
  • Document debugging procedures, findings, and mitigation plans clearly and concisely.
  • Drive corrective and preventive action processes with suppliers and internal teams.

Desired Qualifications

  • Experience working with contract manufacturers and suppliers.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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