Physical AI Architect
Core
Define sensor-to-actuator Physical AI reference architectures and map real-world AI workloads to optimized heterogeneous hardware/software platforms for robotics and autonomous systems.
Role type
Senior IC Physical AI Architect (System Architecture)
Builds
Next-generation Physical AI platforms for robotics, industrial automation, machine vision, and autonomous systems
Domain
Semiconductor / FPGA / Heterogeneous Computing / AI Hardware
Deliverable
production ML models | product features | infrastructure
Required skills
System architecture, embedded computing, AI acceleration, heterogeneous computing, CPU/DSP/FPGA/GPU architecture, robotics workloads
Preferred skills
ROS2, edge AI, machine vision, autonomous systems, industrial robotics, FPGA-based acceleration
Technologies
CPU, DSP, FPGA fabric, GPU, AI accelerators, memory subsystems, high-speed sensor interfaces, SoC, interconnect
Responsibilities
Define sensor-to-actuator Physical AI reference architectures; Analyze and partition AI, vision, perception, planning, and control workloads across compute engines; Drive architecture tradeoffs involving performance, latency, power, memory bandwidth, and determinism; Develop workload models, benchmarks, and performance projections; Collaborate with customers, ecosystem partners, and internal silicon teams; Influence next-generation Altera SoC, FPGA, memory, interconnect, and accelerator roadmaps
Seniority
Senior, hands-on IC with technical leadership
