Role at a glance
- Salary
- $168K – $310.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- At least 8+ years of proven experience in Debug via data
- Education
- B.Sc. in Electrical Engineering/Material Engineering/Chemistry Engineering or equivalent experience
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Role Summary
The Product Engineer will join NVIDIA's transceivers product team within the Networking business and interconnect team, working on data center Ethernet and InfiniBand products. The role focuses on analyzing networking results, debugging product issues, and improving product quality and performance through engineering experiments and cross-functional collaboration.
What You'll Do
- 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 Application Engineers, Solution Architects, and Firmware Developers to address sophisticated challenges.
- Innovate solutions that improve product quality and performance.
- Deliver timely and accurate reports on findings and solutions.
- Provide feedback based on Test House data to optimize product screening processes.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Strong problem solving and prioritization ability; strong statistics and data analysis background (JMP & Python); proven AI capabilities; work under stress capabilities; multi-tasking capabilities; ability to work early hours with business partner
Required
- 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
Preferred
- Experience with optical networking
- Physical layer 1 networking verification
- Data analysis skills with large scale datasets
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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
You will also be eligible for equity and benefits.
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.