Position: AI/ML Robotics Engineer
Location: Cupertino, CA (Onsite) – 5 days work from office
Job Description
Design, build, and integrate complex mechanical reliability/stress-test fixtures for product testing, with the fixtures designed to interface directly with our CT (computed tomography) scanning systems. The goal is to stress test products under controlled mechanical conditions while enabling in-situ or sequential CT imaging to inspect internal structural/failure effects. This role requires a hands-on, self-driven engineer who can take a test concept from design through fabrication, CT-system integration, automation, and data analysis — largely independently.
Deliverables
•Design and build custom mechanical fixtures to apply controlled stress (e.g., cyclic loading, vibration, bend/flex, thermal, or compression) to products under test
•Integrate stress-test fixtures with CT scanner hardware — ensuring fixtures fit within scanner bore/stage constraints, are compatible with rotation stages, and don't introduce imaging artifacts (material selection, geometry, X-ray transparency)
•Develop Python software to control test fixtures, synchronize stress cycles with CT scan sequencing, and automate data logging for long-duration/unattended testing
•Apply AI/ML techniques to analyze CT imaging and reliability data — identifying failure onset, crack propagation, wear patterns, and predicting failure modes
•Collaborate closely with CT/imaging, product design, and failure analysis engineering teams to align test design with product risk areas
•Iterate quickly on fixture design based on test results and CT findings
•Document fixture designs, integration procedures, and test results for reproducibility and cross-team use
•Drive projects independently — identifying testing gaps, proposing solutions, and executing with minimal oversight
Requirements
•Proven experience designing and building custom mechanical/electromechanical test fixtures, ideally for product stress, durability, or reliability testing
•Strong background in robotics and mechatronics: mechanical design, motion control, actuators, sensors, and system integration
•Experience or strong aptitude for integrating hardware fixtures into constrained systems (e.g., adapting designs to fit within existing equipment envelopes/interfaces)
•Proficiency in Python for fixture control, automation, and data analysis
•Practical experience applying AI/ML to engineering, imaging, or test data (anomaly detection, predictive modeling, classification, etc.)
•Self-driven with strong ownership mentality — comfortable defining and executing complex technical projects with ambiguous requirements
•Strong mechanical aptitude — able to work hands-on with hardware (assembly, wiring, troubleshooting, fit-checks)
•Excellent cross-functional communication and documentation skills
Preferred Qualifications
•Direct experience with CT (computed tomography) systems — understanding of scan geometry, stage/bore constraints, and material considerations (X-ray attenuation, artifact avoidance) for fixture design
•Background in failure analysis, particularly correlating mechanical stress testing with radiographic/CT imaging findings
•CAD proficiency (e.g., SolidWorks) for fixture design and CT-envelope fit-checks
•Experience in consumer electronics, semiconductor, or precision hardware product testing environments
•Bachelor’s or master’s degree in mechanical engineering, Robotics, Mechatronics, Electrical Engineering, or a related field (or equivalent practical experience)