System Debug Lead Engineer
NVIDIA
System Debug Lead Engineer
NVIDIA
Designs the chips and software that power AI
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:You will also be eligible for equity and benefits.
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.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.
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