Senior Firmware Engineer - GPU

Posted 3 Days Ago
Be an Early Applicant
Taipei City, TWN
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design, implement, and debug robust out-of-band and peripheral firmware for GPU OOBHUBs. Build secure update and telemetry systems, define firmware-hardware interfaces with ASIC teams, and deliver high-integrity, maintainable embedded software in collaboration with cross-functional engineering groups.
Summary Generated by Built In

Do you excel at developing robust, secure firmware at the intersection of hardware and low-level software? Are you passionate about architecting the foundational communication and peripheral layers that keep world-class GPUs running efficiently? If so, you’re primed to help develop the core out-of-band and peripheral firmware that powers our next-generation GPU architectures.

We are looking for a distinguished Senior Firmware Engineer to become part of our GPU Firmware Development team. Unlike sustainment or support roles, our team is dedicated to active development and innovation from the ground up. You will be tasked with crafting and deploying key firmware within the GPU OOBHUB (Out-of-Band Hub). This firmware manages peripherals seamlessly, updates securely, and monitors communication telemetry reliably. Join us to work with top experts in building robust, high-performance infrastructure for the future of computing.

What you’ll be doing:

  • Core Development: Build, architect, develop, and debug critical firmware running in the GPU OOBHUB, prioritizing robust peripheral control and secure communication interfaces.

  • Lifecycle & Update Systems: Build and optimize high-reliability firmware update mechanisms and telemetry systems for next-generation GPU subsystems.

  • Hardware Interface: Collaborate closely with hardware architects and ASIC designers to initiate new silicon, defining firmware-hardware interfaces and communication protocols.

  • High-Integrity Coding: Implement secure, modern firmware solutions, bringing to bear high-reliability languages and principles to ensure system stability.

  • Collaborative Innovation: Partner with internal software, hardware, and infrastructure teams to transform brand new architectural features from concepts into production-ready firmware.

What we need to see:

  • Education: BS or MS degree in EE, CS, CE, or equivalent experience.

  • Experience: 5+ years of experience in low-level firmware development, embedded systems, or microcontroller programming.

  • Domain Expertise: Strong background in managing peripherals and communication stacks via industry-standard protocols (e.g., SPI, I2C/I3C, PCIe, SMBus, MCTP, PLDM).

  • Programming Language: Expert-level C development skills in resource-constrained environments.

  • Architecture Familiarity: Experience working with RISC-V or similar embedded processor architectures.

  • Engineering Approach: Deep understanding of software development processes, robust debugging methodologies, and a developer-first approach passionate about writing clean, maintainable, and scalable code.

  • Collaboration: Excellent interpersonal abilities enabling close work with hardware designers and diverse engineering groups.

Ways to stand out from the crowd:

  • Language Advantage: Hands-on experience or familiarity with the Ada or SPARK programming languages for high-integrity/safety-critical software.

  • Deep RISC-V Expertise: Direct experience with RISC-V assembly, custom extensions, or low-level architectural optimizations.

  • Security Focus: Knowledge of building secure firmware updates, hardware roots of trust (RoT), or handling cryptographic hardware accelerators.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ 

Skills Required

  • BS or MS in EE, CS, CE, or equivalent experience
  • 5+ years in low-level firmware development, embedded systems, or microcontroller programming
  • Experience managing peripherals and communication stacks (SPI, I2C/I3C, PCIe, SMBus, MCTP, PLDM)
  • Expert-level C development in resource-constrained environments
  • Experience with RISC-V or similar embedded processor architectures
  • Strong software development processes, robust debugging methodologies, and maintainable code practices
  • Excellent interpersonal and collaboration skills with hardware and software teams
  • Hands-on experience or familiarity with Ada or SPARK for high-integrity software
  • Deep RISC-V expertise (assembly, custom extensions, low-level optimizations)
  • Knowledge of secure firmware updates, hardware roots of trust, or cryptographic hardware accelerators

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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