Zoox is on an ambitious journey to develop a fullstack autonomous mobility solution for cities and safely deploy such a robotaxi solution. Zooxs System Design and Mission Assurance (SDMA) team is responsible for constructing the safety case for each milestone. We play a foundational role for the success of the company. As a manager of systems engineers at Zoox you will be working with members of the system safety and software development teams to design develop and deploy systems that enable and support autonomous driving. You are responsible for ensuring these systems are developed within a process that results in endtoend traceability and the achievement of both system safety targets and product requirements.
In this role you will:
Lead manage and grow a team of Systems Engineers who have expertise on the autonomous driving system safety case.
Contribute to the definition development and evolution of the Safety Case of Zoox technology ahead of every development milestone in close collaboration with crossfunctional teams in particular the AI software team who develops the autonomous driving software.
Partner closely with crossfunctional teams to continuously identify opportunities to improve adapt and apply the System Safety engineering process to guide and ensure the safe deployment of Level 5 autonomous driving technology.
Perform hazard analysis using Systemtheoretic Process Analysis (STPA) to identify potential causes of safety issues that may affect the safety of autonomous driving in various Operational Design Domains.
Use STPA outputs to inform test scenarios and coverage.
Perform probabilistic risk assessment to quantify the safety risk associated with autonomous driving
Identify and manage safety requirements where applicable.
Ensure endtoend traceability and produce a closedloop Safety Case.
Qualifications
M.S. or higher degree in an relevant engineering discipline or computer science
At least 7 years of relevant professional experiences in the fields of System Safety or Systems Engineering including a minimum of 2 years managing a team
Have performed hazard analysis using one or more of the following methods: System Theoretic Process Analysis (STPA) qualitative or quantitative Fault Tree Analysis (FTA) Failure Modes and Effects Analysis (FMEA) Hazard and Operability Analysis (HAZOP) Functional Hazard Analysis (FHA) etc.
Proficient in risk quantification probability and statistics
Collaborative team player with strong written and inperson communication skills
Bonus Qualifications
System Engineering or System Safety experience with autonomous driving systems
Handson experience applying relevant industry safety standards such as ISO 26262 ISO 21448 DO178 etc.
Certification for relevant industry safety standards
Compensation and Benefits
There are three major components to compensation for this position: salary Amazon Restricted Stock Units (RSUs) and Zoox Stock Appreciation Rights. The salary range for this position is $201000 to $253000. A signon bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling as well as positioning within a level is determined by a range of factors including but not limited to a candidates relevant years of experience domain knowledge and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave vacation bereavement) unpaid time off Zoox Stock Appreciation Rights Amazon RSUs health insurance longterm care insurance longterm and shortterm disability insurance and life insurance.
About Zoox
Zoox is developing the first groundup fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics machine learning and design Zoox aims to provide the next generation of mobilityasaservice in urban environments. Were looking for top talent that shares our passion and wants to be part of a fastmoving and highly executionoriented team.
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