AI Systems Architecture Engineer – Lead Senior Engineer/Senior Engineer
Core
Define, prototype, and optimize next-generation AI computing systems across heterogeneous hardware and software platforms to maximize performance, power efficiency, and scalability.
Role type
Senior AI Systems Architect (IC)
Builds
Next-generation AI platforms and heterogeneous compute systems
Domain
Semiconductor / AI Hardware / System Architecture
Deliverable
production ML models
Required skills
Heterogeneous computing, System architecture, AI workload analysis, Performance modeling, C/C++/Python, SoC design, Compiler/Runtime knowledge
Preferred skills
AI model optimization (LLMs, Transformers), PyTorch/TensorFlow/MLIR, Accelerator design, High-performance computing
Technologies
CPU, NPU, GPU, ONNX Runtime, MLIR, PyTorch, TensorFlow
Responsibilities
Define system architectures for AI platforms with heterogeneous compute elements; Develop system-architecture prototypes for workload partitioning and resource allocation; Analyze AI workloads to determine optimal resource utilization; Build analytical models and simulators for architectural concepts; Collaborate with hardware, compiler, and firmware teams; Identify performance bottlenecks and recommend architectural improvements.
Seniority
Senior, hands-on IC
