Hardware Reliability Intern [Winter 2027]

Job description

Job responsibilities

• Design and build test fixtures and scalable test stations for functional, performance, and reliability testing of robotic components and subassemblies.
• Integrate mechanical fixtures, electrical wiring, data acquisition systems, power supplies, sensors, actuators, and controllers into complete test setups.
• Support the development of test procedures and pass/fail criteria based on hardware design requirements and expected operating conditions.
• Develop test sequences and modify test configurations to control test equipment, automate test operation, and collect and analyze measurement data.
• Perform test station bring-up and qualification, including checking measurement accuracy, repeatability, data capture, and safety interlocks.
• Execute tests, monitor hardware behavior, and document results, anomalies, and failures.
• Troubleshoot test setups and support root cause investigations across mechanical, electrical, and software interfaces.
• Create and maintain fixture drawings, electrical schematics, wiring diagrams, bills of materials, and test documentation.

Job requirements

• Pursuing a degree in Mechanical Engineering, Electrical Engineering, Robotics, Mechatronics, or a related engineering field, with at least two years completed by the start of the internship.
• Availability for an 8–12-month internship with in-office collaboration five days per week.
• A portfolio, website, or project examples demonstrating relevant hands-on work and your individual contributions.
• Hands-on experience designing, assembling, and testing mechanical or electromechanical systems through coursework, personal projects, internships, or engineering teams.
• Familiarity with basic electrical circuits, wiring, sensors, and laboratory equipment such as multimeters, oscilloscopes, or bench power supplies.
• Basic programming experience in Python or a similar language for equipment control, test automation, or data analysis, and familiarity with Git.
• Ability to interpret test data, troubleshoot problems systematically, and document findings clearly.
• Strong attention to detail and the ability to collaborate effectively across engineering disciplines.