System Software Engineer, Tegra - Memory Software

Overview

• 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.
• 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!.