Principal AI Software Engineer

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