NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU & SOC acts as the brains of computers, robots, and self-driving cars that can understand the world.
The Application Engineering team is searching for System Engineer to engage for partner development in ARM-based (Grace CPU) and X86-based servers with NVIDIA solutions. NVIDIA is creating the future of computing and looking for passionate, dedicated, and forward-thinking individuals to help make that happen.
What you’ll be doing:
System-level tool development/debug from the product segment needed.
Join the partner design review through system architecture, schematics, and layout, thermal and validation plan.
Work with partners for issue analysis and root cause.
Drive with partner's design quality.
Provide tech training to customers.
Overseas travel will be required if needed.
What we need to see:
Master's Degree or equivalent experience in Computer Science/Computer Engineering/Electrical Engineering or related field.
5+ years of server or PC design work experience.
High-Speed Signal design/ Strong knowledge of GPU Server System Architecture includes X86 and ARM-based.
Familiar with Linux. Good concept of thermal and mechanical design.
Skills of ARM Server System Architecture are a strong plus. Skills of Python/Perl is a plus
Knowledge of the PCIe architecture with AER (Advanced Error Reporting).
Excellent communication skills, flexibility in task assignments, and working under pressure.
Strong communications skills in English, Innovative, Independent, results-oriented problem solver.
Ways to stand out from the crowd:
Strong oral & written communication skill (both English and Chinese).
Development experiences in datacenter design or server product.
Self-motivated and aggressive to learn
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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.”
