Staff Systems Engineer, AI/ML
Core
Lead workload-driven architecture strategy for AI/ML systems, defining how to study, model, and optimize workloads across hardware and software boundaries to inform SoC architecture and HW/SW co-optimization.
Role type
Staff AI/ML Systems Engineer (Senior IC)
Builds
Analytical performance models, KPI frameworks, and architectural recommendations for AI/ML workloads on edge devices and next-gen products.
Domain
Semiconductor hardware architecture, AI/ML systems, and compiler infrastructure.
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Analytical performance modeling (roofline, first-principles), CPU/SoC architecture expertise, memory hierarchy optimization, AI/ML acceleration on edge devices, HW/SW co-design, cross-functional technical leadership
Preferred skills
MLIR/IREE/TVM compiler infrastructure, model quantization and sparsity techniques, RISC-V architecture, Vector/Matrix extensions
Technologies
MLIR, IREE, TVM, NPUs, DSPs, DDR/LPDDR
Responsibilities
Define performance KPI frameworks for AI/ML workloads, lead architectural discussions between hardware and software teams, build analytical models to project system-level KPIs, present findings to senior engineering leadership
Seniority
Staff, hands-on IC with significant cross-functional scope
