Robotics Hardware Engineer, Large Behavior Models
Tri-global Solutions Group Inc.
Python
Staff Reliability Engineer
ALSO.
full-time
Posted on:
Origin: • 🇺🇸 United States • California
Visit company websiteSalary
💰 $220,000 - $255,000 per year
Job Level
Lead
Tech Stack
PythonRay
About the role
- Establish reliability targets and metrics for new product development that include actuators, batteries, drive units, PCBAs, chassis, and various low voltage electronic systems.
- Develop new reliability tests procedures and specifications such as highly accelerated life testing, environmental testing, and other reliability tests to demonstrate reliability.
- Apply various types of acceleration models for creation of reliability tests to accurately predict product lifetime under accelerated stress conditions.
- Prepare concise and detailed test plans and analyze test reports. Provide updates and progress on various testing campaigns.
- Guide the engineering teams on failure modes, typical countermeasures for reliability failures, and design guidelines. Provide risk analysis to guide design decisions.
- Monitor field performance and identify trends in failure.
- Leading and facilitating FMEAs with cross-functional teams and developing design verification plans from these activities.
Requirements
- Minimum Bachelor of Science in an engineering discipline or equivalent. Five or more years of industry experience in a reliability engineering role.
- Technical knowledge of one or more aspects related to PCBA reliability, energy storage systems, drive units, and chassis components.
- Working knowledge of a coding language, preferably Python.
- Working knowledge of statistical software for reliability, such as JMP or the ReliaSoft suite, or MATLAB.
- Working knowledge of failure analysis techniques such as SEM, CT, X-Ray, EDS, TDR.
- Experience with instrumentations for data collection and testing such as thermocouples, strain gauges, accelerometers.
- Experience with deploying reliability testing guidelines and inventing new ways of testing.
- Ability to use FEA software (Eg. Ansys Sherlock) for product life prediction in creation of reliability tests.
