System Debug Lead Engineer at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Semiconductors, Data CentersIndustries

Requirements

  • 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 (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

Responsibilities

  • 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

Skills

Key technologies and capabilities for this role

System DebugSignal IntegrityPower IntegrityThermal ManagementFirmware DebugBIOS/UEFIBMCOscilloscopesLogic AnalyzersRoot Cause AnalysisAutomation Scripting

Questions & Answers

Common questions about this position

Is this position remote or onsite?

This is an onsite position.

What is the salary for this System Debug Lead Engineer role?

This information is not specified in the job description.

What experience and skills are required for this role?

Candidates need 10+ years of experience in system-level debug in data center/server platforms, deep understanding of system architecture including CPUs, memory, high-speed I/Os, power delivery, thermal management, and firmware, proven experience debugging electrical, thermal, and firmware issues, and proficiency with tools like oscilloscopes and logic analyzers.

What is the work environment like at NVIDIA for this role?

The ideal candidate thrives in a collaborative environment, working cross-functionally with electrical, mechanical, thermal engineers, firmware developers, and manufacturing teams, with engineering teams growing quickly due to outstanding growth.

What qualifications make a strong candidate for this position?

A Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related fields (or equivalent), 10+ years of system-level debug experience in data center/server platforms, deep system architecture knowledge, proven debugging expertise across hardware and firmware domains, tool proficiency, and strong communication skills for cross-team collaboration stand out.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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