Job Summary
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.
Key Responsibilities
• 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
Skill 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