[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