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Robotics Reliability Engineer (Motors, Mechanisms and Electronics)

Matic · Menlo Park, CA, United States

External listingfull-timeabout 1 month ago

About The Role

Join our team as a Robotics Reliability Engineer, where you will be responsible for ensuring the reliability of our subsystems, including motors, mechanisms, and electronics. You will work closely with design engineers to predict failure modes and set reliability targets before launch, and after launch, you will analyze real-world data to identify and resolve failure modes. This role requires a technical degree in mechanical engineering or a related field, along with 2-5 years of experience in reliability engineering.

  • Collaborate with design engineers to predict failure modes, run DFMEA, and define testing plans.
  • Monitor and analyze field data, including support tickets and telemetry, to identify failure trends.
  • Lead root cause failure analysis and drive resolution through testing or design changes.
  • Comfort analyzing messy, multi-source field data such as support tickets, returns, and telemetry, and turning it into clear engineering priorities
  • Experience specifying test setups for reliability testing and partnering with others to build them
  • Technical degree in mechanical engineering, materials science, or equivalent, with 2-5 years of experience in a reliability engineering position. An advanced degree in reliability, materials science, or a related field is a strong plus
  • High level of maturity, ownership, and pride in your work
  • Solid understanding of Design of Experiments (DOE), Failure Mode and Effect Analysis (FMEA and DFMEA), and physics of failure
  • Track record of defining reliability targets and test plans for consumer electronic products
  • Comfort with fast-paced, startup atmosphere — you don’t shy away from the hard work
  • Deep comfort with reliability statistics: life data analysis, Weibull++ or equivalent, and a range of accelerated test models
  • You are genuinely motivated to help those around you
  • You love diagnosing complex technical issues
  • You are passionate about learning outside of your normal comfort zones
  • You are excited to do great work

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