NVIDIA is building a Taiwan-based team, working with counterparts in the United States, to support CPU programs. This team will provide in-person and in-time-zone support for NVIDIA platform factories and ODM/OEM partner factories. The system software engineer will address SBIOS issues reported by customers, partners, ODMs, and internal stakeholders. The role calls for a firmware or embedded engineer who can work across varied code bases and modules, solve problems directly, and engage domain experts when needed.
What you'll be doing:
- Provide in-person and in-time-zone support for NVIDIA platform factories and ODM/OEM partner factories.
- Develop, triage, and debug ARM/RISC-V chip-level firmware.
- Investigate and resolve the majority of reported issues independently across diverse code bases and modules, engaging domain experts when needed.
- Leverage AI to accelerate analysis, exploration, and documentation while maintaining the rigor, originality, and engineering judgment required to validate results.
- Provide occasional weekend support for critical debugging and time-sensitive issues, as needed.
What we need to see:
- B.S. degree or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
- 5+ years of firmware and embedded systems engineering experience.
- Proven ability to work across diverse code bases and modules to solve complex technical problems.
- Strong problem-solving skills with the ability to work independently and collaborate effectively with domain experts.
Ways to stand out from the crowd:
- Demonstrated experience of handling firmware issues in factory, debugging/triaging problems efficiently, and planning handoffs effectively,
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills Required
- B.S. degree or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field
- 5+ years of firmware and embedded systems engineering experience
- Ability to work across diverse code bases and modules to solve complex technical problems
- Strong problem-solving skills and ability to work independently and collaborate with domain experts
- Experience handling firmware issues in factories, debugging and triaging problems efficiently, and planning handoffs
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.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
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.”
