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AI/ML Robotics Engineer

East Brunswick, NJ, US • Posted 2 hours ago • Updated 2 hours ago

Full Time

On-site

$130000 - $135000/yr

Fitment

Dice Job Match Score™

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Job Details

Skills

AI/ML ROBOTICS ENGINEER

Summary

Position: AI/ML Robotics Engineer
Location: Cupertino, CA (Onsite) – 5 days' work from office
Salary: Market- Based on experience
FTE/Fulltime

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)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10117909
Position Id: 26-20829
Posted 2 hours ago

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