Physical AI Engineer (Control, Optimization, Validation)
PassiveLogic1 month ago
Holladay, UT, USASenior
Responsibilities
- Develop autonomous control strategies using physics-based digital twins for prediction, optimization, and decision-making.
- Translate comfort, energy, equipment-life, and operational requirements into control objectives, constraints, and cost functions.
- Develop scalable optimization, fault-detection, fault-tolerant control, predictive modeling, reinforcement learning, and autonomous-agent algorithms.
- Integrate control and learning algorithms into production systems while meeting reliability and real-time performance requirements.
- Define performance metrics, acceptance criteria, and automated tests for autonomous capabilities and levels of autonomy.
- Test systems under disturbances, incomplete observations, model divergence, and equipment, sensor, or communication failures.
- Compare simulation results with analytical solutions, laboratory measurements, and real-building data.
Requirements
- A required MS or PhD in control engineering, computer science, robotics, applied mathematics, mechanical engineering, or a related field.
- Demonstrated expertise in AI development, scientific machine learning, optimal control, reinforcement learning, multi-agent systems, physics-informed machine learning, and optimization theory.
- Strong technical background in control theory, model predictive control, state estimation, and system identification.
- Strong programming skills in Python, C++, Swift, or a similar language.
- Strong analytical, debugging, root-cause analysis, communication, and collaboration skills.
- Experience with automatic differentiation, differentiable programming, software design, design patterns, and software architecture is preferred.
- Knowledge of building science, HVAC systems, thermodynamics, energy modeling, or grid-interactive controls is preferred.
- Experience with software-in-the-loop, hardware-in-the-loop testing, formal methods, probabilistic modeling, graph neural networks, vector/SIMD/tensor computation, Dymola, or EnergyPlus is helpful.
Benefits
- Generous equity share package.
- Medical, dental, and vision coverage.
- Disability and life insurance options.
- Flexible paid time off.
- Team-building events.
- Free catered lunch in the office Monday through Friday.
- Free ski pass, free National Park pass, and onsite gym.
- The posting states competitive compensation without providing a base-pay amount.
Categories
ML EngineeringRobotics
About PassiveLogic
PassiveLogic builds an autonomous building-control platform that combines edge hardware, software, and digital-twin models to manage HVAC and other systems in commercial buildings. It sells to building owners, operators, and controls integrators, offering tools to design, deploy, and run smart-building automation focused on energy efficiency. Founded in 2016 and headquartered in Salt Lake City, Utah, the company is privately held.