Job Description
The Reliability and Risk Engineer at Gatik is responsible for analyzing, predicting, and improving the safety and reliability of autonomous trucking systems through data analysis, risk assessment, and collaboration with cross-functional teams to ensure system safety and performance.
Key Responsibilities
- Develop and execute reliability strategies for components and systems
- Perform FMEA, FMEDA, Weibull, and fault tree analyses
- Define reliability metrics such as MTBF, MTTR, and failure rates
- Conduct root cause investigations and analyze validation data
- Support safety case development and ensure compliance with standards
- Analyze fleet data to detect trends, failure precursors, and degradation
- Collaborate on predictive maintenance tools, dashboards, and fault detection models
- Support incident investigations, certification, and continuous improvement processes
Requirements
- Master's or PhD in Mechanical Engineering, Electrical Engineering, Systems, Reliability, Statistics, Mathematics, or a related field
- At least 5 years of experience in reliability engineering or risk analysis in autonomous or safety-critical systems
- Strong skills in Python, R, MATLAB, or similar software for statistical modeling
- Familiarity with standards such as ISO 26262, MIL-STD-882, IEC 61508
- Deep understanding of risk and reliability methods, e.g., hazard rates, survival analysis
- Experience working with large datasets to drive insights
- Excellent communication skills and strong organizational and project management abilities
- Ability to develop and execute reliability strategies for components and systems
- Experience performing FMEA, FMEDA, Weibull analysis, and fault tree analysis
- Ability to define reliability metrics such as MTBF, MTTR, and failure rates and lead root cause investigations
- Experience conducting accelerated life testing and assessing design performance statistically
- Ability to apply probabilistic risk methods like Monte Carlo simulations and Bayesian inference
- Developing models to evaluate risk across system behaviors and scenarios
- Supporting safety case development and ensuring compliance with ISO 26262, ISO 21448, UL4600 standards
- Analyzing validation and fleet data to detect trends, failure precursors, and degradation
- Collaborating on predictive maintenance tools, dashboards, and fault detection models
- Supporting incident investigations, certification, and continuous improvement processes
Benefits & Perks
Salary range: $160,000 - $240,000
Work schedule: Onsite 5 days a week
Work environment perks: Collaborative, inclusive, and diverse company culture emphasizing respect, agility, and growth opportunities
Additional benefits: Opportunities to contribute to innovative autonomous vehicle technology, involvement in safety and reliability projects, and a chance to work in a rapidly expanding industry focused on sustainable supply chain solutions
Ready to Apply?
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