Lead Robotics Software Engineer

About Shyld AI

Shyld AI is pioneering the use of Physical AI Agents to transform infection prevention and operational intelligence in hospitals and beyond. Our flagship autonomous UV-C disinfection systems combine robotics, multi-modal sensing, and advanced AI to keep healthcare facilities safe and efficient. With deployments at Stanford, Sutter, Kaiser, Tenet, Prisma, and other leading health systems, we are scaling rapidly and expanding our engineering team.

Role Overview

The Robotic Software Engineer will be responsible for designing, developing, and optimizing the embedded and robotic software that powers Shyld AI’s autonomous disinfection systems. You will work on real-time control, sensor fusion, navigation, and safety-critical software, enabling intelligent interaction with physical hospital environments.

This is a hands-on role that combines robotics engineering with production-level software development. You will collaborate with AI, hardware, and operations teams to deliver reliable, safe, and scalable robotic systems deployed in mission-critical healthcare settings.

Key Responsibilities

Core Robotics Development

• Design and implement real-time robotic control software for autonomous UV-C systems.
• Develop navigation, mapping, and localization algorithms tailored to dynamic hospital environments.
• Integrate and optimize multi-modal sensor data (e.g., ToF, cameras, thermal, occupancy sensors).

Systems & Embedded Engineering

AI & Autonomy Integration

Testing & Deployment

Qualifications

What We Offer