Principal AI Systems Performance Engineer
Core
Direct experiments on AI training, inference, and agentic workloads across complete server systems to pinpoint performance bottlenecks in bandwidth, capacity, latency, power, and data movement.
Role type
Principal AI Systems Performance Engineer (IC)
Builds
Future Micron DRAM, HBM, CXL, and storage products for AI workloads
Domain
Semiconductor / AI Infrastructure / High-Performance Computing
Deliverable
production ML models
Required skills
Multi-GPU system profiling, benchmarking, transformer workloads, distributed systems, agentic AI infrastructure, PyTorch, Python, C/C++, CUDA, Triton
Preferred skills
Memory tiering, KV-cache management, disaggregated infrastructure, performance modeling and simulation
Technologies
PyTorch, Python, C, C++, CUDA, Triton
Responsibilities
Develop and perform controlled AI experiments on CPU-GPU systems; Profile workloads from GPU memory through storage and interconnects; Evaluate data placement and migration approaches; Build and validate performance models and benchmarking tools; Lead cross-functional projects and transform outcomes into product requirements
Seniority
Principal, hands-on IC
