We’re looking for an Autonomous Systems Software Engineer who is energized and driven by PassiveLogic’s mission. You will be joining our team at an exciting time in our product deployment journey. We’re doing initial installations of our industry-disrupting Hive Controller in building sites to test how far we can go with our ground-breaking AI capabilities.

The Hive Controller combines PassiveLogic's autonomous building platform technology with state-of-the-art wireless sensors, intelligent I/O, and a user interface — all in a simple plug & play appliance that runs at the edge. It acts as a scalable, distributed compute and data storage system for customers throughout the Building Automation industry. Learn more about the Hive here.

Responsibilities:

-Work with a team to advance the Hive Controller’s autonomous abilities by executing on an existing roadmap of architectural structure, modules, and features

-Develop robust autonomous software that must run with no human supervision for decades. Use thoughtful architecture design, unit testing, integration testing, profiling, and collaboration with the Formal Methods team to ensure this robustness

Projects you may contribute to:

AI Solver Infrastructure - developing the infrastructure that makes it easy to do automated physics inference, optimization, learning, etc.

Control Pathfinding - realtime autonomous decision making at the edge, using differentiable physics simulation inference, automated reasoning, state estimation, optimization, and machine learning

Autonomous Learning - updating physics models based on empirical observations, probabilistic event modeling, fault detection, quantifying the quality of empirical/prediction data, attributing error causes, etc. Generally, improving system performance as it gathers experience

Weather Prediction - forecasting, with contexts ranging from having an internet connection with forecast API access, to no internet connection and only using locally observable information to forecast weather

Create documentation, and refine, extend, and maintain existing documentation that articulates our vision for a module, its existing implementation status, and planned stages of effort

Incorporate behavioral feedback from our deployed systems to refine the Hive Controller