Senior System Software Engineer - Linux for Edge

Reposted Yesterday
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Taipei City, TWN
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design, develop, and maintain BSP, bootloader, firmware, and low-level system software for embedded/SoC platforms. Perform board bring-up, platform enablement, debugging, and collaborate with hardware, validation, and global teams to deliver secure, production-ready embedded and edge GPU systems.
Summary Generated by Built In

NVIDIA is searching for a highly motivated, creative engineer with experience in system software to join the GPU System Software team. As someone who is hardworking and passionate about their work, you will design key aspects of our production GPU kernel drivers, embedded SW and SOC platforms. You should demonstrate the ability to excel in an environment with complex software and hardware designs.

What You Will Be Doing
  • Design, develop, integrate, and maintain Board Support Package (BSP) software for next-generation embedded and SoC platforms.

  • Develop and enhance bootloader and firmware components, including UEFI, platform initialization, hardware bring-up, and secure boot features.

  • Collaborate closely with hardware, silicon, validation, and system software teams to enable new platforms from early silicon through product release.

  • Perform board bring-up, platform enablement, and low-level debugging during all stages of development.

  • Develop platform services, and system software components required for embedded and edge computing products.

  • Investigate and resolve complex hardware-software integration issues using debugging tools, trace analysis, and root-cause methodologies.

  • Work with cross-functional teams worldwide to deliver high-quality software and ensure successful product deployment.

  • Contribute to software architecture, code reviews, technical documentation, and development best practices.

What We Need to See
  • Bachelor's, Master's, or Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent practical experience.

  • 8+ years of embedded software development experience.

  • Strong programming skills in C and C++, with solid understanding of low-level system programming.

  • Hands-on experience developing and maintaining BSPs for embedded Linux, RTOS of the embedded platforms.

  • Proven experience with bootloader technologies such as U-Boot, EDK II, UEFI, or proprietary platform firmware.

  • Strong understanding of computer architecture, ARM SoC platforms, memory subsystems, interrupt handling, and hardware initialization flows.

  • Familiarity with Linux kernel internals, device drivers, device tree, system services and platform configuration.

  • Strong analytical and problem-solving skills with the ability to debug complex system-level issues.

  • Experience leveraging AI-assisted development and debugging tools (e.g., code generation, code review, static analysis, root-cause investigation, and test automation) to improve software quality, development efficiency, and troubleshooting effectiveness in embedded systems environments.

  • Excellent communication skills and ability to work effectively in a cross-functional, global engineering environment.

Ways to Stand Out from the Crowd
  • Deep expertise in UEFI architecture, EDK II development, Secure Boot, TPM, measured boot, or firmware security technologies.

  • Strong experience with SoC platform architecture, including CPU, GPU, NPU, memory, and power management subsystems.

  • Knowledge of firmware update frameworks, over-the-air (OTA) update mechanisms, and platform lifecycle management.

  • Experience with virtualization technologies, hypervisors, or system-level security architectures.

  • Understanding of AI, edge computing, industrial, or high-performance embedded computing systems.

​NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence.

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

  • Bachelor's, Master's, or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience
  • 8+ years of embedded software development experience
  • Strong programming skills in C and C++
  • Hands-on experience developing and maintaining BSPs for embedded Linux and RTOS
  • Proven experience with bootloader technologies such as U-Boot, EDK II, or UEFI
  • Familiarity with Linux kernel internals, device drivers, and device tree
  • Strong understanding of computer architecture, ARM SoC platforms, memory subsystems, interrupt handling, and hardware initialization
  • Experience performing board bring-up, platform enablement, and low-level debugging
  • Experience leveraging AI-assisted development and debugging tools (code generation, static analysis, test automation)
  • Strong analytical and problem-solving skills and effective cross-functional communication
  • Deep expertise in UEFI architecture, EDK II development, Secure Boot, TPM, or measured boot
  • Experience with SoC platform architecture including CPU, GPU, NPU, memory, and power management
  • Knowledge of firmware update frameworks and OTA update mechanisms
  • Experience with virtualization technologies and hypervisors
  • Familiarity with AI, edge computing, or high-performance embedded computing systems

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.

NVIDIA Insights

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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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