Principal Systems Software Engineer, SMS

As a Systems Software Engineer in Micron’s Storage and Memory Systems (SMS) group within TPG Pathfinding, you will design, develop, and demonstrate innovative system-level software that influences Micron’s future memory and storage technologies. You will work in a small, highly skilled engineering team, collaborating closely with AI/ML specialists, hardware engineers, and system architects to evaluate emerging hardware concepts, quantify performance gains, and guide long-term product direction. This role requires versatility, strong system-level problem-solving skills, and the ability to apply hardware architecture knowledge across the full software stack. Responsibilities

• Develop software and port applications to demonstrate and measure the value of proof-of-concept hardware systems and features.
• Collaborate with AI/ML experts, software engineers, hardware teams, and system architects to analyze future AI workloads and identify memory-and storage-related opportunities.
• Define, configure, and complete analytical experiments to evaluate new system features and hardware behaviors.
• Build and modify Linux applications and libraries using C, C+, Python, Rust, SYCL, and/or CUDA for advanced heterogeneous computing systems.
• Develop and use emulators to predict system-level performance and functional impacts prior to hardware availability.
• Debug system-level issues across application, kernel, OS configuration, libraries, and hardware boundaries.
• Utilize emerging AI tools to accelerate development, analysis, and productivity.
• Present technical findings, insights, and innovations to internal customers across Micron.

• Bachelor’s degree with 8+ years, Master’s degree with 5+ years, or PhD with 2+ years of experience in Computer Science, Computer Engineering, or a related field.
• Experience with GPU programming and runtimes (eg, CUDA, SYCL, OpenCL, PyTorch) and familiarity with GPU memory hierarchies.
• Strong development skills in C, C+, Python, and Shell scripting, with Linux programming experience (multithreading, IPC, ioctl, gdb,/proc,/sysfs).
• Experience developing software to enable or demonstrate hardware system capabilities.
• Deep understanding of heterogeneous compute architectures (eg, NUMA, caching, GPUs, PCIe, CXL, NVLink, UALink) and the ability to debug across system boundaries., * Experience with emerging AI software stacks or frameworks.
• Familiarity with DRAM, emerging memory technologies, NAND, and next-generation storage or filesystems.
• Experience with emulation platforms (eg, QEMU), hardware-software integration, or system bring-up in exploratory or pathfinding environments.