[Remote] Principal Sensor Systems & 3D Simulation 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, enabling CNC machines to self-measure and self-correct. They are seeking a Principal Sensor Systems & 3D Simulation Engineer to develop simulation models and error-mapping foundations that enhance measurement and correction technology in manufacturing systems.ResponsibilitiesBuild simulation models for 3D sensing and measurement systems, including optical/laser/structured-light behavior, sensor response, imaging geometry, surface interaction, calibration, and measurement uncertaintyTranslate physical sensing devices and full measurement systems into mathematical and computational models using first-principles reasoning and practical engineering judgmentModel how sensors interact with surfacesSimulate source/optics/detector behavior as part of the full systemDevelop numerical models, 3D data pipelines, parameter studies, and virtual experiments that support real engineering decisionsAnalyze point clouds, meshes, surfaces, CAD geometry, measurement results, and machine/sensor data to understand 3D deviation patternsCreate 3D error maps, deviation maps, uncertainty maps, and correction-oriented representations that connect measured part behavior to machine, toolpath, fixture, sensor, and process behaviorCompare simulation outputs against real sensor data, machine data, metrology data, and controlled experimentsDesign structured experiments that validate sensor-system, 3D reconstruction, and error-mapping models and improve predictive accuracyBuild hybrid approaches that combine sensor physics, 3D analytics, data-driven models, and machine learningSupport synthetic data generation, virtual metrology, digital twin development, measurement strategy optimization, and correction-logic validationWork closely with software, AI, machining, metrology, sensor, and systems teams to make 3D measurement and simulation useful in the real productCommunicate technical findings clearly and help the team understand what the system is seeing, where the error comes from, and how it should be correctedSkills5+ years of experience in sensor systems, 3D sensing, optical engineering, applied physics, machine vision, robotics perception, computational geometry, metrology, simulation engineering, or a related technical fieldStrong background in sensor modeling, 3D data processing, geometric modeling, numerical methods, and computational engineeringExperience building models of real devices, measurement systems, or 3D data pipelines from first principles and experimental dataStrong programming skills in PythonExperience with scientific computing, numerical methods, optimization, parameter studies, uncertainty modeling, or simulation frameworksAbility to model sensor and measurement systems such as lasers, structured light, cameras, lenses, detectors, illumination, surface interaction, imaging geometry, calibration, machine motion, coordinate transforms, and noiseExperience working with point clouds, meshes, CAD surfaces, 3D reconstruction, registration, surface comparison, or deviation analysisExperience comparing model predictions to real-world sensor, metrology, machine, experimental, or metrology dataStrong understanding of calibration, uncertainty, measurement noise, sensitivity analysis, error propagation, and experimental designAbility to work across software, hardware, data, sensors, geometry, optics, and physical systemsStrong communication skills and ability to explain complex technical work clearlyMaster's or PhD in Optical Engineering, Physics, Applied Physics, Electrical Engineering, Robotics, Computer Vision, Computational Geometry, Metrology, Mechanical Engineering, or a related fieldExperience with lasers, structured light, triangulation, photogrammetry, computational imaging, machine vision, 3D sensing, depth sensing, or industrial optical metrologyExperience with point-cloud processing, mesh processing, 3D registration, surface deviation analysis, feature extraction, pose estimation, or coordinate-system alignmentExperience with 3D error mapping, geometric error propagation, tolerance analysis, metrology-driven correction, or machine/part deviation modelingExperience with camera calibration, projector calibration, hand-eye calibration, machine-to-sensor calibration, coordinate transformations, and 3D reconstructionExperience generating synthetic sensor data or building virtual environments for perception, inspection, robotics, metrology, or correction systemsExperience modeling measurement error propagation, tolerances, geometric uncertainty, surface reflectance, occlusion, sensor placement, measurement strategy, or correction tradeoffsExperience working in advanced R&D, startup, aerospace, manufacturing, robotics, optics, semiconductor, or hard-tech environmentsCompany OverviewAutonomous CNC Self-Correction Empowering imperfect machines to make accurate parts the first time, and every time. It was founded in 2025, and is headquartered in Allentown, PA, US, with a workforce of 2-10 employees. Its website is https://4mp.ai/.