Job description

We are seeking a creative and independent Product Engineer to join NVIDIA's innovative transceivers product team. As a leader in the market, our mission is to advance speed and bandwidth across generations, establishing NVIDIA as the trusted provider of End-to-End High-Speed Ethernet and InfiniBand Solutions. As a Product Engineer in our Networking business, you will play a pivotal role in driving technological innovation and ensuring product quality. Embedded within our interconnect team, you will apply multi-disciplinary expertise to address latest networking challenges in NVIDIA’s Data Center related products. We are a data-driven team, dedicated to identifying and resolving issues by analyzing network results, conducting engineering experiments, and performing lab debugging. In a dynamic and fast paced environment, you will ensure our products achieve the highest levels of excellence and functionality. What you'll be doing: • Analyze networking failures and cross-correlate multi-test data to identify root causes. • Design and complete engineering experiments to reproduce, screen, and resolve product issues. • Collaborate with multi-disciplinary teams (Application Engineers, Solution Architects, Firmware Developers) to address sophisticated challenges. • Innovate solutions that improve product quality and performance. • Deliver timely and accurate reports on findings and solutions in a fast paced environment. • Provide feedback based on Test House data to optimize product screening processes. What we need to see: • B.Sc. in Electrical Engineering/Material Engineering/Chemistry Engineering or equivalent experience • At least 8+ years of proven experience in Debug via data • Strong problem solving and prioritization ability • Strong statistics and data analysis background (JMP & Python) • Proven AI capabilities to produce fast &efficiently results • Work under stress capabilities • Multi-tasking capabilities • Ability to work early hours with business partner Ways to stand out from the crowd: • Experience with optical networking • Physical layer 1 networking verification • Data analysis skills with large scale datasets Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 23, 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.

Requirements

Must-haves

Analyze networking failures and cross-correlate multi-test data to identify root causes.
Design and complete engineering experiments to reproduce, screen, and resolve product issues.
Collaborate with multi-disciplinary teams (Application Engineers, Solution Architects, Firmware Developers) to address sophisticated challenges.
Innovate solutions that improve product quality and performance.
Deliver timely and accurate reports on findings and solutions in a fast paced environment.
Provide feedback based on Test House data to optimize product screening processes.
B.Sc. in Electrical Engineering/Material Engineering/Chemistry Engineering or equivalent experience
At least 8+ years of proven experience in Debug via data
Strong problem solving and prioritization ability
Strong statistics and data analysis background (JMP & Python)
Proven AI capabilities to produce fast &efficiently results
Work under stress capabilities
Multi-tasking capabilities
Ability to work early hours with business partner
Experience with optical networking
Physical layer 1 networking verification
Data analysis skills with large scale datasets
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 23, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonai

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Effort: medium