Senior Product Engineer, Transceivers
NVIDIAJob Title
Senior Product Engineer, Transceivers
Role Summary
Senior Product Engineer on NVIDIA's transceivers product team focused on End-to-End High-Speed Ethernet and InfiniBand solutions for data centers. The role centers on identifying, reproducing, and resolving networking and hardware issues through data analysis, lab debugging, and cross-functional collaboration.
Work is data-driven and multidisciplinary: you will design experiments, analyze multi-test datasets, and coordinate with application engineers, firmware developers, and solution architects to improve product quality and performance.
Experience Level
Senior — requires at least 8+ years of relevant experience in data-driven debugging and product engineering.
Responsibilities
Key responsibilities include:
- Analyze networking failures and correlate multi-test data to identify root causes.
- Design and execute engineering experiments to reproduce, screen, and resolve product issues.
- Perform lab debugging and validate solutions through test and measurement.
- Collaborate with cross-functional teams (application engineers, firmware developers, solution architects) to resolve complex problems.
- Develop and deliver timely, accurate technical reports on findings and corrective actions.
- Provide feedback to Test Houses and refine product screening and verification processes.
Requirements
Must-have qualifications and skills:
- Minimum of 8+ years of proven experience performing debugging and root-cause analysis using data.
- Strong statistics and data analysis experience; practical use of tools such as JMP and Python.
- Proven ability to apply AI/ML techniques to accelerate analysis and produce efficient results.
- Strong problem-solving, prioritization, and multi-tasking abilities; able to work under stress and early hours to coordinate with partners.
- Experience with lab debugging, test data correlation, and producing actionable technical reports.
Nice-to-have:
- Experience with optical networking and physical Layer 1 verification.
- Experience analyzing very large-scale datasets.
Education Requirements
B.Sc. in Electrical Engineering, Materials Engineering, or Chemical Engineering, or equivalent practical experience.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
