Mechatronics Engineer, Steering
Ford Motor Company
Senior/Staff Systems Engineer – Safety and Fail-Operational
Zoox
full-time
Posted on:
Origin: • 🇺🇸 United States • California
Visit company websiteSalary
💰 $185,000 - $277,000 per year
Job Level
Senior
Tech Stack
Python
About the role
- Work closely with cross-functional teams to define, analyze, and measure the system's performance and safety to guide safe deployment of autonomous driving technology.
- Lead and contribute to the definition, development, and evolution of the safety case and key system performance metrics that measure the robotaxi’s ability to safely complete journeys.
- Perform comprehensive hazard and system analysis using methodologies such as System-theoretic Process Analysis (STPA) to identify potential system issues.
- Model the performance impact of autonomy behavior and residual operational risks.
- Develop robust methodologies to quantify the readiness and maturity of the autonomous driving system, including performing probabilistic risk assessments.
- Derive comprehensive verification and validation (V&V) strategies for progress metrics and use analysis outputs to inform test scenarios and coverage.
- Identify and manage safety requirements where applicable.
- Communicate complex concepts, model outcomes, and actionable insights to diverse stakeholders and executives.
- Ensure end-to-end traceability of requirements, metrics, and analyses to produce a closed-loop safety case and enable continuous feedback loops.
Requirements
- M.S. or higher degree in an Engineering or Computer Science discipline.
- At least 7 years of relevant professional experience in fields such as Systems Engineering, System Safety, data analysis, performance tracking, or risk quantification for complex systems.
- Experience performing hazard analysis using one or more methods such as STPA, Fault Tree Analysis (FTA), Failure Modes and Effects Analysis (FMEA), or Functional Hazard Analysis (FHA).
- Demonstrated experience in defining, implementing, and managing quantitative metrics and data pipelines for software or hardware systems.
- Proficiency in probability, statistics, and quantitative analysis/modeling tools, with the ability to use Python to interface with large-scale data sources.
- A strong understanding of complex software systems, preferably in robotics, autonomous driving, or aerospace.
- A collaborative team player with strong written and in-person communication skills, capable of influencing and presenting complex data to varied audiences.
- Bonus Qualifications: Systems Engineering or System Safety experience with autonomous driving systems.
- Bonus Qualifications: Metrics ownership experience in autonomous driving or robotics.
- Bonus Qualifications: Hands-on experience applying relevant industry safety standards such as ISO 26262 or ISO 21448, including any certifications.
- Bonus Qualifications: Experience with risk assessment methodologies or building out a large-scale process from conception to implementation.
