System Software Engineer - Memory Management for Embedded and Automotive Platforms

System Software Engineer, Tegra - Memory Software

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation, driven 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 brain of computers, robots, and self-driving cars that can understand the world. Creating what has never existed demands vision, inventive thinking, and the world’s finest talent. As a NVIDIAN, you’ll be immersed in a diverse, supportive environment that encourages everyone to perform their life's best work.

Join NVIDIA Tegra’s Memory System Software team and play a key role in advancing Automotive platforms, Embedded systems, and Data Center platforms. As a System Software Engineer, you will work with a multifaceted group focused on innovation and quality. You will engage with the most sophisticated Tegra platforms in the field. This role offers a chance to collaborate with leading experts and influence the future of technology.

What You'll Be Doing:

• Build, develop, and optimize Tegra-based Automotive Platforms and real-time computing environments, responsible for Memory Management.

• Build and optimize page management, memory allocation, and memory virtualization solutions suited for high-performance and embedded environments.

• Collaborate with Hardware & Software teams and Product Owners to define and refine SoC memory management requirements.

• Work with collaborator engineering teams to understand needs, define requirements, and deliver efficient solutions.

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

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

• Set performance goals, monitor feedback, analyze data, and make continuous improvements for system performance and resource utilization for QNX and Linux-based systems.

What We Need To See:

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

• 2+ years of industry experience in software development, focusing on Linux Kernel, Android, and QNX development, concentrating on memory management subsystems (SMMU, dma_buf, Virtualization, Carveout, cache, and other memory-related subsystems).

• Proficiency in C programming and familiar with handling codebases.

• Apply knowledge of operating systems, kernel internals, device drivers, memory management, storage, networking, and high-speed interconnects to build and fix highly performant systems.

• Good knowledge of Virtual memory systems, encompassing paging, caching, and memory allocation.

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

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

• Effective Problem-Solving and Analytical Skills: Outstanding analytical, problem-solving, and debugging skills, with a track record of resolving complex technical challenges.

• Partnership and Communication: Excellent interpersonal and communication skills, with the ability to articulate complex technical concepts to diverse audiences and collaborate effectively across teams.

Ways To Stand Out From The Crowd:

• Experience of using GenAI Tools like Cursor, Claude, and N8N.

• Hands-on development for the Automotive Platforms.

• Detailed understanding of the Software / Product Development Life Cycle.

Join us to explore the possibilities of intelligent automation and coordinated hardware. Work on leading industry Tegra solutions. If this excites you, apply now!

Experience Level

Mid Level