#8b9ae484-5ba3-42ab-9bc6-6c67831a2414
ad field safety investigations for events that occur during operations & service
Conduct root cause analysis using industry-standard methodologies (5-why, fault tree, fishbone analysis, FMEA, CAST, etc.)
Recommend corrective action plans (short and long-term) and safety strategies based on investigation findings and align with cross-functional stakeholders (engineering, operations, legal, safety policy, manufacturing, etc.) to define the solutions. These corrective action plans could include engineering solutions in hardware and software, as well as operational mitigations and process improvement
Continuously track engineering and operational solutions to closure within SDMA
Ensure continuous feedback loop to Systems Safety Operations & Service to improve and refine operational safety requirements
Proactively identify potential safety hazards in Zoox's field operation of autonomous driving as a service through structured predictive safety analysis and review of historical operational data.
Be a part of the rotational on-call engineering team during milestone launches and operations.
Brief and report to executive teams
Qualifications
BS degree in a relevant engineering field
Have minimally 2-3 years of experience in deploying and managing complex field operations in relevant domains
Hands on experience with incident investigations
Systems engineering and systems safety training
Experience in identifying and mitigating issues in real-world operations
Possesses excellent EQ with an empathetic communication style that fosters connection, collaboration and motivation
Track-record in managing complex cross-functional projects
Bonus Qualifications
Have senior leadership experience (5+ years) in deploying and managing complex field operations in relevant domains
Working experience in automotive industry or the autonomous driving technology industry
Working level experience with safety critical systems
Familiarity with industry safety standards such as MIL-STD-882, ISO 26262, ISO 21448, etc.
Compensation
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 $131,000 to $215,000. A sign-on 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 candidate's 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, long-term care insurance, long-term and short-term disability insurance, and life insurance.
About Zoox
Zoox is developing the first ground-up, 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 mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Follow us on LinkedIn
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.