Reliability Engineer (all Levels)

Figure AI Figure AI · Robotics · HQ · Hardware

Figure AI is seeking a Reliability Engineer to ensure their humanoid robots meet lifetime specifications. This role involves driving design for reliability, defining hardware reliability specs, leading DFMEA, developing and executing accelerated life tests, supporting failure analysis, and documenting/resolving issues. The position requires a degree in a relevant engineering field and experience in reliability engineering, failure modes, and test methods.

What you'd actually do

  1. Collect and analyze current and prospective product use cases to define hardware reliability specs and validation methods.
  2. Lead DFMEA efforts with design engineers to analyze and assess potential design risks, detection and mitigation methods.
  3. Develop and execute accelerated life tests for materials, modules, and systems, e.g. structural parts, joints, softgoods, robot head/torso, charger, EMC, full robot and robot ecosystem product.
  4. Work with test engineers to develop custom test fixtures, electronics, and codes.
  5. Working with cross-functional teams, own reliability test planning and preparation in-house and at supplier sites.

Skills

Required

  • Minimum 2 years of work experience in reliability engineering.
  • Bachelor's degree or higher in mechanical, electrical, materials engineering or related field
  • Strong knowledge of hardware failure modes and failure physics.
  • Strong knowledge in developing accelerated life test specs and methods, such as high temperature high humidity, thermal cycle, vibration, shock, and load/use cycle tests.
  • Familiarity with Weibull++, JMP, or related data analysis software.
  • Experience in hardware assembly and instrumentation setup.

Nice to have

  • Experience with CATIA for 3D mechanical design.
  • Experience with Altium for viewing PCBA design.
  • Experience with electric motors, gearboxes, or actuators.
  • Experience with reliability modeling, e.g. Ansys Sherlock analysis, and Monte Carlo simulation.
  • Experience with testing standards such as JESD22, ISO16750, GMW3172, MIL-STD-810.
  • Experience with coding languages such as Python, MATLAB, C.
  • Knowledge of failure analysis tools and techniques such as optical microscopy, CT/Xray, SEM/EDS, PCBA cross-sectioning.