Robotics Engineer

Programmers.io; Cupertino (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Programmers.io is seeking an experienced Mechanical/Mechatronics engineer in Cupertino, CA to design and build complex reliability fixtures interfacing with CT scanning systems. You will automate tests, analyze CT data with AI/ML, and collaborate across imaging, design, and failure analysis teams.

This role requires hands-on fabrication, independent project ownership, and strong documentation skills. Responsibilities include integrating fixtures within scanner constraints, developing Python

Qualifications

• Proven experience designing and building custom mechanical/electromechanical test fixtures.
• Strong robotics/mechatronics background: design, motion control, actuators, sensors.
• Experience integrating hardware into constrained systems.
• Proficiency in Python for fixture control, automation, and data analysis.
• Experience applying AI/ML to engineering, imaging, or test data.
• Self-driven with ownership and ability to work with ambiguous requirements.
• Strong mechanical hands-on skills: assembly, wiring, troubleshooting.
• Excellent cross-functional communication and documentation.

Responsibilities

• Design, build, and integrate mechanical reliability fixtures for product testing.
• Interface fixtures with CT scanners and imaging hardware to minimize artifacts.
• Develop Python software to control fixtures and log data during long tests.
• Apply AI/ML to analyze CT imaging and reliability data to predict failures.
• Collaborate with CT/imaging, design, and failure analysis teams; iterate based on results.
• Document designs, integration procedures, and test results for reproducibility.
• Drive projects independently from concept to deployment.

Skills

Mechanical design

Robotics

Mechatronics

Python programming

AI/ML for engineering

Test fixture design

Cross-functional collaboration

Education

Bachelor's or Master's in Mechanical Engineering or related field

Tools

SolidWorks

CT imaging workflow tools

Automation scripting

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.

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)