[Remote] Principal Physical AI Software Engineer

Note: The job is a remote job and is open to candidates in USA. 4MP Inc is building a new technological foundation for precision manufacturing, focusing on autonomous systems. They are seeking a Principal Physical AI Software Engineer to design and develop AI systems that enable machines to interpret manufacturing intent and generate corrective actions based on real-world data.

Responsibilities

• Design and develop AI systems for autonomous manufacturing, machine understanding, and closed-loop correction
• Build models and algorithms that interpret CNC programs, CAM logic, CAD geometry, machining context, and operator variability
• Develop methods to connect sensor data, 3D geometry, machine telemetry, metrology results, and physics-based models
• Create AI systems that identify deviations, reason about likely causes, estimate uncertainty, and support corrective actions
• Build learning loops that improve from experiments, inspection results, machine corrections, and production outcomes
• Support simulation and virtual validation environments for testing AI behavior before expensive physical experiments
• Translate complex physical behavior into robust software architectures, data models, and scalable AI systems
• Help define data requirements, validation metrics, model evaluation methods, and system-level performance expectations
• Contribute to AI architecture decisions that will shape the long-term 4MP platform
• Mentor other technical contributors and help shape the future AI team

Skills

• 8+ years of experience in AI/ML, physical AI, robotics, autonomous systems, intelligent systems, controls, perception, optimization, simulation, industrial AI, or related technical fields
• Strong hands-on software engineering experience building AI, ML, robotics, optimization, perception, control, or data-driven systems
• Experience working with real-world physical data, sensor data, machine telemetry, robotics data, metrology data, manufacturing data, or other complex multi-modal datasets
• Experience building AI systems where outputs influence real-world decisions, correction strategies, inspection decisions, control behavior, or automation workflows
• Strong programming skills in Python and experience with production-oriented AI/ML, data, simulation, optimization, or robotics software
• Strong understanding of model development, data pipelines, system architecture, validation, deployment, observability, and reliability
• Experience translating ambiguous technical problems into working models, algorithms, tools, or systems
• Ability to work closely with software, hardware, testing, and domain experts
• Strong mathematical and technical foundation in areas such as optimization, statistics, geometry, robotics, controls, simulation, uncertainty, or physics-based modeling
• Bachelor's degree in Computer Science, Robotics, Engineering, Physics, Mathematics, or a related technical field — or equivalent practical experience
• Direct experience with physical AI, robotics, autonomous systems, industrial AI, or machine intelligence connected to real-world equipment
• Experience with CNC machining, CAM systems, G-code, machine tools, metrology, manufacturing data, or industrial automation
• Experience with geometry processing, 3D data, point clouds, meshes, CAD data, optical sensing, machine vision, or metrology systems
• Experience combining AI with physics-based models, digital twins, simulation, controls, sensor fusion, or engineering constraints
• Experience with model validation against experimental data, production data, metrology data, or physical test results
• Advanced degree in Computer Science, Robotics, Engineering, Physics, Mathematics, or a related field
• Startup or scale-up experience where speed, ownership, and ambiguity are part of the job
• Proven ability to turn unsolved technical problems into reliable working systems

Company Overview