We are looking for Senior Firmware Application Engineer in NVIDIA Taipei office. NVIDIA is leading the way into the high-growth areas of High-Performance Computing, Artificial Intelligence, and Computer Gaming. The company is pushing hard the technology in all areas. The GPU Application Engineering team is searching for Datacenter Firmware Engineer to engage for partner development in servers with NVIDIA solutions. You'll find the work is exciting, fun, and meaningful challenges to work for NVIDIA leading solutions into the Datacenter partners platform.
What you’ll be doing:
Work with customers to provide deep technical assistance in NVIDIA requirements into customer platforms and rack solutions in the datacenter.
Assist to achieve fully optimized design with NVIDIA products and provide customer feedback as to product features and software enhancement.
Work for customers Datacenter platform brings up, issues analysis and root cause till mass production.
Required tools development focus on NVIDIA Datacenter product segments needed.
Provide tech training to customers for new Datacenter product engagement.
Domestic and overseas travel will be required if needed.
What we need to see:
BS or MS degree (or equivalent experience) in Computer Science/Computer Engineering/Electrical Engineering or a related field.
5+ years of significant software development experience.
The Server System Architecture skill.
Experience in developing server BIOS features, including security and UEFI implementation. Additionally, having BMC implemented will be another plus.
Familiar with Linux/BMC skills/operations.
Skills in C/C++ and Python will be a plus.
Excellent communication skills, flexibility in task assignments, and working under pressure.
Ways to stand out from the crowd:
Strong oral & written communication skills (both English and Chinese).
Self-motivated and aggressive to learn.
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.”
