Linux Memory Management Engineer - Tegra SoCs

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.

We are a top artificial intelligence computing company pioneering advancements in gaming, visualization, supercomputing, and self-driving cars. NVIDIA enables customers, developers, tier-1 suppliers, research institutions, and start-ups to build and deploy innovative AI systems for automotive, embedded, and edge devices. As a member of our dynamic and forward-thinking team, you ll help craft the future of AI and embedded computing.

A dedicated software engineer with expertise in Linux Memory Management is needed to join our System Software team. This role will focus on developing and optimizing memory management solutions for current and next-generation Tegra SoCs. Join us if you're passionate about solving complex system-level challenges!

• Design, develop, and optimize Linux kernel memory management subsystems for Tegra-based platforms.

• Implement and improve page management, memory allocation, and virtual memory systems tailored for high-performance and embedded use cases.

• Collaborate with hardware and software teams to define and refine SoC memory management requirements.

• Debug and triage complex kernel and user-space memory-related issues on production systems.

• Improve memory handling in low-power, real-time, and resource-constrained environments.

• Analyze and optimize system performance and resource utilization for Linux-based systems.

• B. S. or M. S. in Computer Science, Computer Engineering, or Electrical Engineering (or equivalent experience).

• 3+ years of experience in Linux kernel development, with a focus on memory management subsystems.

• Deep understanding of Linux virtual memory systems, including paging, caching, and memory allocation.

• Strong knowledge of ARM architecture and low-level debugging tools (e. g. , JTAG, gdb).

• Proficiency in C and experience working with large, complex codebases.

• Experience with kernel module development, memory profiling tools, and system-level debugging.

• Strong collaboration and communication skills to work effectively in a distributed team.

• Hands-on experience optimizing memory management for Tegra SoCs or similar embedded platforms.

• Knowledge of NUMA, DMA, and IOMMU subsystems and their application in high-performance systems.

• Familiarity with Linux kernel community processes and experience contributing to open-source projects.

• Understanding of low-power memory management techniques and strategies.

• Exposure to secure memory management concepts, including TrustZone or other isolation technologies.

Join us to push the boundaries of what s possible with AI and embedded systems while working on the most advanced Tegra platforms in the industry. If this excites you, apply now!

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/

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.