Physical AI Architect

Job Title

Physical AI Architect

Role Summary

As a Physical AI Architect on the Embedded Architecture team, you will define system architectures and map robotics, machine vision, and autonomous-system workloads across heterogeneous compute (CPU, DSP, FPGA fabric, GPU, AI accelerators), memory subsystems, and sensor interfaces. You will develop workload models and benchmarks, analyze trade-offs, and influence future SoC/FPGA/platform roadmaps.

Experience Level

Entry-level / Early-career. Minimum 1+ years of relevant experience in system architecture, embedded computing, AI acceleration, robotics, or heterogeneous computing.

Responsibilities

Primary responsibilities include architecture definition, workload partitioning, performance modeling, and cross-team collaboration to shape Physical AI platforms.

• Define sensor-to-actuator Physical AI reference architectures.
• Analyze and partition AI, vision, perception, planning, and control workloads across CPU, DSP, FPGA fabric, GPU, and AI accelerators.
• Drive architecture trade-offs for 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 and software teams to capture platform requirements.
• Influence roadmaps for SoC, FPGA, memory, interconnect, and accelerator technologies.

Requirements

Must-have technical skills and experience.

• Minimum 1+ years experience or research in system architecture, embedded computing, AI acceleration, robotics, or heterogeneous computing.
• Practical understanding of CPU, DSP, FPGA fabric, GPU, AI accelerator, memory subsystems, and interconnect architectures.
• Experience with AI/ML, computer vision, robotics, or autonomous-system workloads.
• Demonstrated technical leadership and ability to define architecture and influence product or silicon roadmaps.
• Eligible for any required U.S. export authorizations.

Nice-to-have:

• 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.

Education Requirements

PhD in Electrical Engineering, Computer Engineering, Computer Science, Robotics, or a related field.

About the Company

Company: Altera

Headquarters: Bengaluru, Karnataka, India

Altera provides leadership programmable solutions for applications ranging from cloud to edge, unveiling limitless AI possibilities. Their extensive product portfolio includes FPGAs, CPLDs, Intellectual Property, development tools, and System on Modules aimed at accelerating innovation in various fields.