System Debug Lead Engineer at NVIDIA

Santa Clara, California, United States

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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

System Debug

Signal Integrity

Power Integrity

Thermal Management

Firmware Debug

BIOS/UEFI

BMC

Oscilloscopes

Logic Analyzers

Root Cause Analysis

Automation Scripting

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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