Systems Software Engineer
Core
Architect, design, and develop software enabling future memory and storage technologies, specifically AI inference stacks and heterogeneous computing systems.
Role type
Principal Systems Software Engineer (AI/Storage)
Builds
Proof-of-concept hardware capabilities, AI inference software stacks, and system-level performance emulators.
Domain
Semiconductor industry, AI/ML systems, Storage and Memory Systems
Deliverable
production ML models
Required skills
C, C++, Python, Linux kernel programming, GPU programming (CUDA/SYCL), AI inference stack architecture, LLM serving internals, heterogeneous compute architecture
Preferred skills
HBM/DRAM technology knowledge, NVMe SSD/NAND knowledge, systems-focused pathfinding leadership
Technologies
Linux, CUDA, SYCL, C++, Python, Rust, vLLM, SGLang, TensorRT-LLM, NVLink, PCIe, CXL
Responsibilities
Design and modify AI inference software stacks; Develop software to quantify system feature value; Lead software architecture and development efforts; Research emerging AI software topics; Develop and use emulators for system-level performance prediction; Debug system-level issues spanning applications to hardware interfaces; Mentor interns and earlier-career engineers; Present technical findings to internal or external customers
Seniority
Principal, hands-on IC with technical leadership
