4MP Inc is building a new technological foundation for precision manufacturing. They are seeking a hands-on AI Principal Engineer to design and develop AI systems that enable machines to interpret manufacturing intent and generate corrective actions in autonomous manufacturing environments.
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, machining context, and operator variability
- Develop methods to connect sensor data, geometry, machine telemetry, and physics-based models
- Create AI systems that can identify deviations, reason about causes, and support corrective actions
- Build learning loops that improve from test results, machine corrections, and production outcomes
- Support the development of simulation environments for training, testing, and validating AI behavior
- Work closely with software engineers to integrate AI capabilities into production-grade systems
- Collaborate with metrology, machining, and testing teams to validate models against real-world data
- Translate complex physical behavior into robust software architectures and scalable AI systems
- Help define data requirements, model evaluation methods, validation metrics, 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
Requirements:
- 8+ years of experience in AI/ML, robotics, physical AI/ML, autonomous systems, intelligent systems, controls, simulation, or related technical fields
- Strong hands-on 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, industrial data, or other complex multi-modal datasets
- Strong software engineering skills and ability to build production-oriented AI systems, not just experiments
- Strong understanding of model development, data pipelines, system architecture, validation, and deployment
- 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, 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 combining AI with physics-based models, digital twins, simulation, controls, or sensor fusion
- Experience building closed-loop systems where AI interprets real-world feedback and recommends or generates corrective action
- Experience with geometry processing, 3D data, point clouds, optical sensing, machine vision, or metrology systems
- Experience developing AI systems for robotics, aerospace, automotive, manufacturing, medical devices, or other high-precision physical environments
- 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
- Strong desire to build foundational technology rather than incremental features