Hiring: Physical AI Engineer (Control, Optimization, Validation) Company: PassiveLogic Location: Holladay, UT Job Posted Time: 2026-09-11 07:41:58 Employment Type: On-site Target Skills & Keywords : C++, Deep Learning, Machine Learning, Python, Reinforcement Learning, Swift About the job Required Skills: •Develop and validate the algorithms that enable buildings to understand their physical state, learn from experience, and autonomously optimize their operation. •This role combines control theory, optimization, machine learning, physics-based simulation, and systems validation. Your work will span digital twins, autonomous reasoning, building physics, equipment behavior, and human comfort. You will develop production-quality algorithms and test them in simulation, laboratory systems, and real buildings. •Develop Autonomous Control and Optimization •Design and implement autonomous control strategies that use 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 algorithms using methods such as stochastic gradient descent, coordinate descent, distributed optimization, Bayesian methods, and evolutionary algorithms. •Design and implement physics-based automated fault-detection and diagnosis algorithms. •Develop fault-tolerant control methods that support degraded operation and system recovery. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!