Nvidia

Networking

SeniorProductEngineerTransceivers

$168–311k Santa Clara, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Product Engineer Transceivers at Nvidia. Skills: Product Engineering, Data Analysis, Problem Solving, Networking. 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.”

What You'll Achieve.

ensure our products achieve the highest levels of excellence and functionality; produce fast &efficiently results

Industry & Context.

Networking
Problems you'll solve

problem solving and prioritization ability; identify root causes; resolve product issues

Eligibility Requirements

Ability to work early hours with business partner

What They're Looking For.

Must Have

B. Sc. in Electrical Engineering/Material Engineering/Chemistry Engineering or equivalent experience, At least 8+ years of proven experience in Debug via data, problem solving and prioritization ability, 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

Nice to Have

Experience with optical networking, Physical layer 1 networking verification, Data analysis skills with large scale datasets

What You'll Do.

Analyze networking failures and cross-correlate multi-test data to identify root causes.

Design and complete engineering experiments to reproduce

and resolve product issues.

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.

How You'll Work.

Team & Collaboration

Collaborate with multi-disciplinary teams (Application Engineers, Solution Architects, Firmware Developers) to address sophisticated challenges.

Communication Scope

Deliver timely and accurate reports on findings and solutions

Full 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 part

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