Physical AI Architect

Responsibilities

• Define sensor-to-actuator Physical AI reference architectures for robotics and autonomous systems.
• Analyze and partition AI, vision, perception, planning, and control workloads across CPU, DSP, FPGA fabric, GPU, and AI accelerators.
• Drive architecture tradeoffs involving performance, latency, power, memory bandwidth, and determinism.
• Develop workload models, benchmarks, and performance projections for robotics and autonomous systems.
• Collaborate with customers, ecosystem partners, and internal silicon teams to identify future platform requirements.
• Influence next-generation Altera SoC, FPGA, memory, interconnect, and accelerator roadmaps.

Requirements

• PhD in Electrical Engineering, Computer Engineering, Computer Science, Robotics, or a related field.
• 1+ years of experience and research interest in system architecture, embedded computing, AI acceleration, robotics, or heterogeneous computing.
• 1+ years of understanding regarding CPU, DSP, FPGA, GPU, AI accelerator, memory, and interconnect architectures.
• Experience with AI/ML, computer vision, robotics, or autonomous systems workloads.
• Proven track record of technical leadership, innovation, and architecture definition.

Preferred Qualifications

• Experience with ROS2, edge AI, machine vision, autonomous systems, or industrial robotics.
• Knowledge of FPGA-based acceleration and heterogeneous computing platforms.
• Publications, patents, or recognized contributions in AI, robotics, or computer architecture.

About the Company

Altera is the world’s largest pure-play FPGA solutions provider. Our mission is to deliver programmable technologies that help customers differentiate, innovate, and scale across rapidly evolving markets like AI, cloud, networking, and edge. We provide an end-to-end portfolio of products including FPGAs, CPLDs, Intellectual Property, and development tools to accelerate innovation from cloud to edge.