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Reliability Engineer (All Levels)

Figure

San Jose, CA$120,000 - $250,000mid level4 months agoAI-enriched
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Job Type

full time

Description

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is based in San Jose, CA and requires 5 days/week in-office collaboration.

We are looking for a Hardware Reliability Engineer in charge of driving design for reliability, designing and executing test plans for our humanoid robots to ensure they meet our lifetime specs.

Responsibilities:

  • Collect and analyze current and prospective product use cases to define hardware reliability specs and validation methods.
  • Lead DFMEA efforts with design engineers to analyze and assess potential design risks, detection and mitigation methods.
  • 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.
  • Work with test engineers to develop custom test fixtures, electronics, and codes.
  • Working with cross-functional teams, own reliability test planning and preparation in-house and at supplier sites.
  • Drive and manage internal/external resources and suppliers in executing reliability tests in each engineering build.
  • Support failure analysis from reliability tests, fleet operations, and field uses.
  • Document failures and work with design and manufacturing engineers to resolve issues.
  • Conduct physics-based and statistical analysis on test and field failures to assess risk and provide actionable recommendations.

Requirements:

  • 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.

Bonus Qualifications:

  • 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.

The US base salary range for this full-time position is between $120,000 - $250,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

This job is found at InterviewStack.io

Skills

reliability_engineeringdfmeaaccelerated_life_testingthermal_cyclehigh_temperature_high_humidityvibration_testingshock_testingload_use_cycleweibull_analysisjmpdata_analysisinstrumentation_setuphardware_assemblycatiaaltiumelectric_motorsgearboxesactuatorsreliability_modelingansys_sherlockmonte_carlo_simulationtesting_standards_jesd22_iso16750_gmw3172_milstd810pythonmatlabcoptical_microscopyct_xraysem_edspcb_cross_sectioningfailure_analysisphysics_based_analysisstatistical_analysis

About Figure

Figure is a technology company specializing in AI, engineering, and design with a focus on manufacturing, robotics, and supply chain operations. Headquartered in San Jose, California, Figure offers a variety of roles in AI, manufacturing, and hardware engineering, emphasizing innovation in humanoid robotics and manufacturing automation.

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