System Product Engineer
NVIDIA is hiring a System Product Engineer. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Jmp, failure analysis and hardware debugging.
- Level classifies it as a mid-level role.
- Level lists 2,700+ other open roles at NVIDIA.
AI in this role
Stabilize networking hardware products from first build to mass production through debugging, failure analysis, and yield optimization.
NVIDIA Networking division is looking for an excellent System Product Engineer! NVIDIA Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading solutions that include adapter cards, switches, cables and software to support networking technologies. Our products optimize data center performance and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of markets including high performance computing, enterprise, data centers, cloud computing, big data and Web 2.0. We are constantly reinventing ourselves to stay ahead of the market and bring groundbreaking products and services to the industry.
The System product engineer is responsible for stabilizing hardware products from the first build unit through ramp-up and transition to high-volume mass production. This role plays a critical part in ensuring product quality, yield, and test robustness for NVIDIA’s cutting-edge platforms by leading debug infrastructure development, systematic failure analysis, and data-driven continuous improvement across the NPI lifecycle.
What you'll be doing:
Own end-to-end product stabilization from first article to production release.
Develop and maintain hardware debug infrastructures, tools, and methodologies to support efficient root cause analysis.
Monitor, analyze, and improve yield performance during NPI.
Perform deep-dive failure analysis and root cause investigations to improve product robustness, quality, and throughput.
Improve test stability, coverage, and repeatability while reducing false failures.
Collaborate closely with Mechanical NPI engineers, Test Development teams, R&D, and manufacturing partners.
Apply data analysis techniques to identify systemic issues, trends, and optimization opportunities.
What we need to see:
B.Sc. in Electrical Engineering.
4+ years of relevant experience in product engineering, failure analysis/debug, or HW/test design.
Proven hands-on experience in HW debugging.
Strong problem-solving abilities with a diligent approach.
Outstanding interpersonal and communication skills in English.
Ability to thrive in a collaborative and dynamic environment.
Ways to stand out from the crowd:
Background with test design and HW lab equipment.
Experience with data/yield analysis.
Background with JMP and/or other data analysis tools.
Experience working with a manufacturing environment.
Basic programming knowledge (C, Perl, Python) in Linux environment.
NVIDIA has some of the most talented and forward-thinking individuals in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
How we rate this
System Product Engineer 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 failure analysis was part of your work. What did you do?
- Tell me about a project where hardware debugging was part of your work. What did you do?
- Tell me about a project where product engineering was part of your work. What did you do?
- Tell me about a project where yield analysis was part of your work. What did you do?
- Walk me through how you've used Jmp in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Failure Analysis, Hardware Debugging, Product Engineering, Yield Analysis, and Jmp. 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.
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