About the Position

Physical AI Sr. Engineer

Function

Software Product Engineering

Location

United States - San Jose, CA

Work Model

Hybrid

Description

What We Are Looking For

Note: Show, don’t just tell. We prioritize your portfolio over a perfectly polished resume. When you apply, please include videos, links, or GitHub repos of physical, autonomous, or hardware projects you have built.

The Hardware Hacker: Deep comfort with general-purpose electronics, breadboarding, microcontrollers (Arduino, Raspberry Pi, ESP32), and integrating weird sensors with software.
Industrial Tinkerer: Hands-on experience programming and troubleshooting PLCs (Mitsubishi, Allen Bradley, Siemens) and understanding basic industrial protocols.
Robotics & Autonomy Savvy: You do not need prior experience specifically commanding robotic arms, though it is a major plus. We are looking for broad experience with things that move autonomously – whether that is rovers, drones, custom kinematics, or ROS (Robot Operating System) environments.
The „Glue“ Coder and AI Tools: You can quickly write Python, C++, or whatever script is necessary to connect an API endpoint to a physical servo or PLC register. Our CTO AI office is a strictly AI-first environment; you will be provided with a Gemini Ultra subscription and expected to heavily leverage frontier models to accelerate your code generation, troubleshoot weird hardware protocols, and maximize your execution speed.
Ruthless Bias for Action: You thrive in an unstructured, high-velocity environment where the goal is a working prototype by Friday, not a perfect architecture diagram.

Why Join Us?

This is the ultimate sandbox with massive real-world stakes. You will have access to cutting-edge AI models, robotic arms, and industrial hardware, with a mandate to build physical solutions that will ultimately scale to transform global industries.

Requirements

Physical AI Sr. Engineer

Location: Santa Clara, CA

The Vision

Generative AI is stepping out of the browser and into the physical world. At GlobalLogic/Hitachi, we are building „Physical AI“ – bridging digital agentic intelligence with real-world mechanical and industrial systems. To prove this to our clients in the manufacturing, energy, and mobility sectors, we don’t just build slide decks. We build functioning physical prototypes that serve as the foundation for actual agentic AI solutions, targeting massive operational impact across Hitachi’s global industrial footprint and our Fortune 500 customers. We are not building lab experiments; we are building the future of physical operations.

The Role

You are our resident hardware hacker and physical AI tinkerer. This is a deeply hands-on role where execution velocity is your primary metric for success. While we love great communicators and collaborative team players, your day-to-day will not be spent writing whitepapers or leading steering committees. You will be given digital AI models and told: „Make the hardware do this,“ or „Wire this AI output to trigger that industrial PLC.“

Your job is to build the physical prototypes and participate in the development of groundbreaking physical AI solutions.

Core Skills

Python
C++
PLC programming
ROS

Secondary Skills

Rovers
Drones
Custom kinematics

Employment Type

Full-time

Experience Level

Senior

Work Location Type