Principal Systems Engineer, Datacenter Interconnects and Fabric Health
NVIDIA is hiring a Principal Systems Engineer, Datacenter Interconnects and Fabric Health in Santa Clara, United States. It pays $240k-$380k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Tools and skills the posting cites include system debug, hardware and firmware.
- Level classifies it as a lead role.
- Level lists 2,700+ other open roles at NVIDIA.
- The role was posted in the last few days.
AI in this role
Lead cross-functional hardware and firmware debug for datacenter servers and high-speed interconnects.
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 Principal Systems Engineer: Datacenter Interconnects & Fabric Health 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 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 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)
- 15+ 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
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 6, 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.How we rate this
Principal Systems Engineer, Datacenter Interconnects and Fabric Health at NVIDIA rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where system debug was part of your work. What did you do?
- Tell me about a project where hardware was part of your work. What did you do?
- Tell me about a project where firmware was part of your work. What did you do?
- Tell me about a project where datacenter was part of your work. What did you do?
- Tell me about a project where signal integrity was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: System Debug, Hardware, Firmware, Datacenter, and Signal Integrity. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. You get your review by email within 24 hours.
Get new software engineering jobs by email
One email a week with the new software engineering jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step