NVIDIA is looking for a Product Engineer. Candidate is expected to perform production testing control and problem solving of different interconnect products. This job allows you to work in a complex, exciting engineering environment handling challenging testing activities. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence.
What you'll be doing:
Work as product engineer to support the test floor of several manufacturing across China.
You will work remotely and travel to the different site as needed.
Build test infrastructure during NPI stage and work to bring up test line to MP.
You will be handling production infrastructure & jigs, support stability and quality with no production holds.
Maintaining high-quality product deliveries to customers by data and failure analysis.
Working on production issues and solving problem in our production in a short manner.
Characterize and implementing systems and procedures in the production line.
Drive the CM to full independency and responsibility.
Dynamically support line extension to increase test capacity.
Analysis production test performance to generate plans for cost saving. Improve Tier 1 training and tools.
What we need to see:
BSc (MS pref.) in EE/Software or equivalent experience.
5+ years of relevant working experience in production lines.
Strong problem solving and prioritization ability.
Test stations/Test program debug experience.
Linux and windows experience.
Network knowledge.
Strong presentation, interpersonal skills.
Statistics and data analysis background (JMP).
Fast learner, Self-Learner.
Good English skills (writing and talking).
Flexible in work hours.
Ways to stand out from the crowd:
Experience in Python/C++ and automation.
Electro optic production experience.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
