We are currently seeking an experienced Reliability Engineer to work for our Powertrain Reliability team. This position requires an experienced professional with a history of collecting data and supporting the reliability plan for Powertrain components in the vehicle fleet with focus on Mechanical systems and failure modes. Our ideal candidate exhibits a can-do attitude, and approaches work with vigor and determination. Candidates will be expected to demonstrate excellence in their respective fields, to possess the ability to learn quickly and to strive for perfection within a fast-paced environment.
The Role:
- Set up reliability requirements and targets for Mechanical components, sub-assemblies and systems
- Specify and review design verification test plans and ensure it is comprehensive in bringing out environmental stress weakness in design/ process and ensure Lucid’s powertrain system meets lifetime reliability metrics
- Statistically analyze warranty and test data to derive system, sub-system reliability using JMP, Weibull, Minitab and establish reliability targets for Lucid Powertrain systems
- Quantity risks and guide design and cross-functional teams to improve reliability
- Facilitate failure analysis to understand root cause and drive resolution
- Research on physics of failure and apply them to test methods to represent field behaviors
- Correlate test to field failures and identify any shortcomings in test specs
- Be a strong and vocal proponent of reliability in every phase of product development
Qualifications:
- Hands on experience for testing equipment and methods
- High level of mathematical and data analysis capabilities
- Excellent communication skills and team-oriented attitude
- Comfortable with initiating and taking ownership of projects
- Flexibility to work in a fast-paced startup environment with frequent prioritization adjustments
- Good understanding of high-voltage battery failure modes and effects
- 2+ years of reliability engineering experience
Preferred:
- Experience with Grafana and Tableau
- Experience in writing efficient code to analyze large data sets and using a database
- Experience with Atlassian, Jira and Confluence
- Capable of performing teardowns and postmortem analysis, demonstrating a critical thinking approach
- A history of working independently with limited oversight or input once a base understanding has been established
- Experience working with high-voltage, high current systems (power supplies, batteries, etc.)
Education:
- Bachelor's degree in mechanical engineering (master’s degree or PhD preferred)
By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.
