Define hardware reliability specs from product use cases, lead DFMEA, develop and run accelerated life tests, support failure analysis, and work cross-functionally to resolve design and manufacturing issues.
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.
Figure.ai San Jose, California, USA Office
San Jose, CA, United States
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