Applied Super Intelligence Engineer, Physical Systems
Core
Build software enabling AI agents and multimodal models to interact with real-world equipment via an existing hardware integration stack, focusing on perception workflows and safe system integration.
Role type
Applied Super Intelligence Engineer (Physical Systems)
Builds
SI-assisted systems for physical equipment interaction
Domain
Robotics, AI, and Industrial Automation
Deliverable
production ML models
Required skills
Python, LLMs, multimodal models, agent-based systems, tool-calling, API integration, sensor data processing, software development practices
Preferred skills
ROS/ROS 2, vision-language models, simulation/digital twins, workflow orchestration, MQTT/NATS
Responsibilities
Implement agent-facing tool definitions and task workflows; Develop multimodal perception and decision-support workflows; Improve prompt logic and workflow reliability; Translate operational tasks into SI-assisted workflows; Define safe action boundaries and fallback behaviors; Evaluate and debug applied SI workflows
Seniority
Mid to Senior level (SES.1 to SES.3)
