Senior Firmware Application Engineer

Posted 16 Days Ago
Be an Early Applicant
Taipei City, TWN
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Senior Firmware Application Engineer, you'll work on NVIDIA datacenter solutions, providing technical assistance, optimizing designs, and facilitating customer training, while leveraging your software development expertise and server architecture knowledge.
Summary Generated by Built In

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.

Skills Required

  • BS or MS degree in Computer Science/Computer Engineering/Electrical Engineering
  • 5+ years of software development experience
  • Server System Architecture skill
  • Experience in developing server BIOS features, including security and UEFI implementation
  • Familiar with Linux and BMC
  • Skills in C/C++ and Python
  • Strong oral & written communication skills in English and Chinese

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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