Senior System Software Engineer - Linux for Edge

NVIDIA is seeking a highly motivated, creative engineer to join the GPU System Software team. You will design key aspects of production GPU kernel drivers, embedded software, and SOC platforms.

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 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 development.
• Develop platform services and system software components for embedded and edge computing products.
• Investigate and resolve complex hardware-software integration issues using debugging tools and root-cause methodologies.
• Work with cross-functional teams 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 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 to improve software quality and development efficiency.
• 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.