Senior/Staff System Reliability and Risk Engineer

Gatik AI•Mountain View, CA

3d•Onsite

About The Position

We’re seeking a Reliability and Risk Engineer to lead efforts in analyzing, predicting, and improving the reliability and safety of our autonomous trucking systems. You’ll work across hardware, software, and systems teams to identify failure modes, assess risks, and drive data-informed design decisions using advanced statistical methods. This role is onsite 5 days a week at our Mountain View, CA or Fort Worth, TX office!

Requirements

Master’s or PhD in MechE, EE, Systems, Reliability, Stats/Math, or related field
5+ years in reliability engineering or risk analysis in autonomous or safety-critical systems
Strong skills in Python, R, MATLAB, or similar for statistical modeling
Familiarity with standards like 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
Strong communicator with excellent organizational and project management skills

Nice To Haves

Experience with ML for reliability prediction or anomaly detection
Background in predictive analytics for AV or robotics
Familiarity with AV safety certification and regulatory engagement

Responsibilities

Develop and execute reliability strategies for components and systems
Perform FMEA, FMEDA, Weibull, and fault tree analyses
Define reliability metrics (MTBF, MTTR, failure rates) and lead root cause investigations
Conduct accelerated life testing and assess design performance statistically
Apply probabilistic risk methods like Monte Carlo simulations and Bayesian inference
Develop models to evaluate risk across system behaviors and scenarios
Support safety case development and compliance with ISO 26262, ISO 21448, UL4600
Analyze validation and fleet data to detect trends, failure precursors, and degradation
Collaborate on predictive maintenance tools, dashboards, and fault detection models
Work closely with cross-functional teams to integrate reliability into all development stages
Support incident investigations, certification, and continuous improvement processes