Hardware Reliability Intern (Winter 2027)

Join Figure's Hardware REL team as a Hardware Reliability Intern for an extended internship of 8-12 months. In this hands-on role, you will design, build, and validate electromechanical test stations to evaluate the functionality, performance, and reliability of humanoid robot hardware. You will collaborate with mechanical, electrical, and software engineers to solve practical integration challenges in a fast-paced engineering environment.

• 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.

• A portfolio, website, or project examples demonstrating relevant hands-on work and your individual contributions
• Ability to interpret test data, troubleshoot problems systematically, and document findings clearly
• Interest in robotics, hardware testing, and reliability engineering
• Availability for an 8–12-month internship with in-office collaboration five days per week
• 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
• Basic programming experience in Python or a similar language for equipment control, test automation, or data analysis, and familiarity with Git
• Familiarity with basic electrical circuits, wiring, sensors, and laboratory equipment such as multimeters, oscilloscopes, or bench power supplies
• Hands-on experience designing, assembling, and testing mechanical or electromechanical systems through coursework, personal projects, internships, or engineering teams
• Strong attention to detail and the ability to collaborate effectively across engineering disciplines
• Exposure to reliability testing, accelerated life testing, manufacturing testing, or failure analysis
• Familiarity with calibration, measurement uncertainty, gauge repeatability and reproducibility (GR&R), or test-station qualification
• Experience with Python-based test automation, data visualization, or Linux
• Familiarity with data acquisition systems and communication interfaces such as CAN, serial, USB, or Ethernet
• Experience with fixture design, 3D printing, machining, soldering, or other prototyping and fabrication methods
• Experience integrating motors, motor controllers, load cells, encoders, thermocouples, or other test instrumentation
• Experience with mechanical CAD tools, particularly CATIA V6, or electrical schematic design tools