Systems Software Engineer

Req  Systems Software Engineer

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

As a Principal Systems Software Engineer in the Storage and Memory Systems (SMS) group within Micron’s ITP Pathfinding organization, you will architect, design, and develop software that enables and demonstrates the value of future memory and storage technologies. You will work in a small, highly skilled engineering team, collaborating closely with AI/ML application and modeling specialists, software engineers, hardware engineers, and system architects.

Your pathfinding work will accelerate the development of future products and influence technical direction. This role requires broad technical expertise and a willingness to contribute across multiple layers of AI and systems software stacks, from AI applications to hardware/software interfaces.

• Design and modify AI inference software stacks to enable proof-of-concept hardware capabilities.
• Develop software to quantify and demonstrate the value of proposed system features.
• Lead software architecture and development efforts, both independently and as a technical lead for small teams.
• Research emerging AI software topics to identify memory and storage system challenges and opportunities.
• Develop and modify Linux applications and libraries using C, C++, Python, Rust, CUDA, and/or SYCL for advanced heterogeneous computing systems.
• Develop and use emulators to predict system‑level performance and functional impacts in advance of hardware availability.
• Debug system-level issues spanning applications, libraries, operating systems, kernels, system configuration, networks, and hardware/software interfaces.
• Use emerging AI tools to improve productivity.
• Collaborate across Micron organizations and with external partners.
• Mentor interns and earlier-career engineers.
• Present technical findings, insights, and innovations to internal or external customers.

• Bachelor’s or Master’s degree with 10+ years of experience, or a PhD with 7+ years of experience, in Computer Science, Software Engineering, Computer Engineering, or a related field.
• Working knowledge of end-to-end AI inference software stack architectures, with hands‑on development experience in multiple layers, such as frameworks, inference engines, ML compilers, compiler infrastructure, hardware runtimes, or hardware abstraction layers.
• Experience debugging issues spanning applications, libraries, operating systems, kernels, networks, and hardware/software interfaces.
• Proficient development skills in C, C++ and Python, with Linux-specific programming experience such as multithreading, IPC, ioctl, GDB, and the /proc and /sys file systems.
• Experience programming GPUs or other accelerators using CUDA, SYCL, OpenCL, or a comparable programming model.
• Demonstrated ability to lead technical initiatives without supervisory authority.
• Familiarity with LLM serving internals, including KV-cache management, prefill and decode phases, KV-cache offloading, and disaggregated serving.
• Familiarity with inference engines and distributed serving frameworks such as SGLang, vLLM, NVIDIA Dynamo, or TensorRT-LLM.
• Strong understanding of heterogeneous compute architecture concepts, including memory hierarchies, NUMA, caching, accelerator architectures, and interconnects such as PCIe, CXL, NVLink, or UALink.

• Technical leadership experience in a systems-focused pathfinding or research organization.
• Technical knowledge of HBM, DRAM, and emerging memory…