NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
The NVIDIA Linux for Tegra (L4T) team is looking for a Senior Embedded Systems Software Engineer with strong expertise in OpenEmbedded and Yocto build systems. In this role, you’ll build and optimize the embedded Linux stack that powers NVIDIA’s Tegra platforms across robotics and AI edge applications. You’ll collaborate with world-class hardware and software engineers to deliver reliable, high-performance Linux solutions for next-generation SoCs.
What you'll be doing:
Develop, maintain, and improve Yocto/OpenEmbedded layers for Tegra-based Linux distributions.
Integrate bootloaders, kernels, drivers, and user-space packages into production-quality BSP releases.
Work together with international multifunctional groups to support new features in embedded Linux.
Improve build infrastructure, CI workflows, and release automation for scale and reliability.
Troubleshoot and resolve system bring-up issues, build failures, and runtime performance bottlenecks.
Contribute to open-source communities and ensure compliance with licensing and software standards.
Provide technical leadership, mentoring, and guidelines guidance within the embedded software team.
What we need to see:
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
Over 12+ years of experience in embedded Linux development, concentrating on BSPs and system software.
Strong hands-on experience with Yocto/OpenEmbedded build systems, recipe/layer management, and debugging.
Deep understanding of ARM-based SoCs, boot processes, device trees, kernel configuration, and system bring-up.
Proficiency in C/C++, Python, and shell scripting; strong grasp of build tools such as bitbake and make.
Experience with cross-compilation, root filesystem customization, and embedded debugging tools (e.g., JTAG, GDB, serial console).
Excellent problem-solving and communication skills in cross-functional, distributed teams.
Ways to stand out from the crowd:
Direct experience with NVIDIA Jetson or Tegra platforms.
Active open-source contributions to Yocto Project, OpenEmbedded, or similar ecosystems.
Familiarity with CI/CD systems (Jenkins, GitLab CI) for embedded builds.
Knowledge of containerization, secure boot, or OTA updates in embedded environments.
Join us at NVIDIA, where your expertise will help build the future of computing and robotics! 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
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Top Skills
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.”
