About The Position

Quality and Reliability are at the core of Electric Adventure Vehicles. We are looking for engineers who are passionate about investigating failures, finding key insights in large datasets, and collaborating across the company with design, finance, service, manufacturing, remanufacturing, purchasing, quality, and supply chain to improve the quality and reliability of our products.

Requirements

  • Bachelors of Science in Electrical Engineering or related field.
  • 4+ years of industry experience in a reliability engineering or related role.
  • Working knowledge of applied statistics and experience with statistical software for reliability, such as JMP or the ReliaSoft suite.
  • Working knowledge of a coding language, preferably Python / SQL.
  • Experience creating effective problem resolution methods and leading cross functional teams.
  • A desire to contribute to a respectful, fun, inclusive and inspiring team culture.

Nice To Haves

  • Physics of failure knowledge for electrical systems.
  • Technical knowledge of one or more aspects related to PCBA reliability: failure modes, reliability specification development, design guidelines, water-cooled electronics, interconnects.
  • Strong understanding of mechanics of materials.
  • Familiarity with PCBA design and manufacturing methods.
  • A deep understanding of reliability concepts, and a proven expertise in applying Weibull analysis to drive priorities in reliability.
  • Familiarity with failure analysis techniques such as optical microscopy, X-ray, CT, FTIR, SEM, EDS.

Responsibilities

  • Apply reliability engineering concepts to continuously improve the reliability of low-voltage electrical systems across all of Rivian's products.
  • Utilize reliability statistics to identify reliability trends in the field and provide a clear snapshot of risk.
  • Facilitate root cause investigation of field failures, with a major focus on physics of failure and a data-driven approach.
  • Create statistical analyses, ranging from simple time or miles analysis to big data physics of failure driven damage models.
  • Utilize big data for reliability, using the new possibilities that a connected car and a direct servicing strategy allow.
  • Create reliability forecasts to provide visibility to design, finance, service, manufacturing, purchasing, quality, and supply chain allowing early insight on field issues and a coordinated technical and business strategy for deployment of containment and counter measures.
  • Analyze usage, stress, and environmental conditions from the field to continuously improve product requirements and test methods.
  • Provide reliability design and process guidelines based on field findings to continuously improve product requirements and test methods.

Benefits

  • Robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26.
  • Coverage is effective on the first day of employment.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Transportation Equipment Manufacturing

Education Level

Bachelor's degree

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