Six Figure Work

System Debug Lead Engineer

NVIDIA

Company websitenvidia.com (NVIDIA, opens in new tab)

Base salary $168K  to $322K

Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA

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  • LocationSanta Clara, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking a highly skilled and experienced System Debug Lead Engineer to join our team. This individual will play a critical role in root cause analysis and resolution of complex issues across our server and data center platforms, involving electrical, mechanical, thermal, and firmware components. The ideal candidate brings a multidisciplinary approach to system-level problem-solving and thrives in a dynamic, collaborative environment.

What you’ll be doing:

  • Lead cross-functional debug of critical system-level issues across hardware (electrical, mechanical, thermal) and firmware domains

  • Perform hands-on root cause analysis of failures observed during system validation, production, or in-field operation

  • Collaborate with electrical engineers, mechanical engineers, 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 debug workflows

  • Provide technical guidance and mentoring to cross-functional teams

  • Document debug procedures, findings, and mitigation plans clearly and concisely

  • Drive corrective and preventive action processes with suppliers and internal teams

What we need to see:

  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related fields (or equivalent experience)

  • 10+ years of experience in system-level debug in data center/server or similar hardware platforms

  • Deep understanding of system architecture including CPUs, memory, high-speed I/Os, power delivery, thermal management, and firmware

  • Proven experience in debugging electrical issues (e.g., signal integrity, power integrity), thermal issues (e.g., airflow, cooling design), and firmware anomalies (e.g., BIOS/UEFI, BMC)

  • Proficiency in tools such as oscilloscopes, logic analyzers, and firmware debug equipment/utilities

  • Strong communication skills and the ability to work across fields and teams

  • Experience working with contract manufacturers and suppliers is a plus

NVIDIA offers competitive salaries and benefits. We have experienced and talented individuals. Our engineering teams are growing quickly due to outstanding growth. If you're a creative engineer passionate about technology, we welcome your application!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
168,000 USD – 258,750 USD for Level 4; and 200,000 USD – 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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.

Source: NVIDIA on Workday · View original posting (opens in new tab)

This range next to 6 other live NVIDIA roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live NVIDIA roles with the nearest advertised base floor
RolePublished base
System Debug Lead Engineer (this listing)$168K - $322K
L11 System Product Development Engineer$168,000 - $258,750
Senior Software Engineer, Network Visibility Platform - DGX Cloud$168K - $322K
Hardware Validation Procedures and Documentation Lead$168,000 - $258,750
Senior Software Engineer, Platform Engineering$168K - $322K
PhD Research Scientist, Fundamental Generative AI - New College Grad 2026$168,000 - $264,500
AI Engineering Manager - Finance$168K - $322K

Same $100K to $400K scale as every card. All NVIDIA roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-30
Where this pay comes from

Location as the employer wrote it: US, CA, Santa Clara (Levels 4-5 combined)

168,000 USD – 258,750 USD for Level 4; and 200,000 USD – 322,000 USD for Level 5.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.