Job Description
The Platform Safety Engineering and Analysis team at Zoox defines system requirements for Zoox’s robot platform to ensure safe and reliable autonomous vehicle operation, including hardware and associated firmware. This team works at the intersection of hardware and software to establish the technical framework that connects component-level requirements to system-level and product level requirements.
Achieving fail-operational capabilities is critical for the safe and scalable deployment of autonomous driving vehicles. In complex environments, vehicles must remain operational even in the presence of faults. This necessitates robust strategies for fault handling, management, and recovery. Developing these capabilities allows the company to ensure continuous operation, mitigate safety risks, and ultimately scale its autonomous driving fleet effectively.
Qualifications
- B.S. or higher degree in Systems Engineering, Robotics, Computer Science, Electrical Engineering, Applied Mathematics or related fields with 5+ years of relevant experience
- Strong systems engineering background with experience in requirements management and system architecture
- Proficiency in quantitative analysis and modeling tools
- Deep understanding of fault detection, isolation, and recovery techniques, including redundancy, failover, and graceful degradation strategies.
- Proven ability to develop and integrate fault monitoring and diagnostics tools to proactively identify and address potential system failures.
- Familiarity with industry standards and best practices for fault management and system reliability.
- Strong analytical skills in performance metrics definition and system-level trade-off analysis.
- Excellent technical communication and documentation abilities.
- Demonstrated successful experience working with cross-functional teams in complex technical environments.
Bonus Qualifications
- Advanced degree (MS or PhD) in a relevant field
- Experience with autonomous vehicle development or similar complex robotics systems
- Knowledge of automotive-grade hardware systems and integration requirements
- Familiarity with requirements management tools (e.g., Polarion, DOORS)
- Experience with system safety analysis and requirements validation
- Background in performance modeling and system architecture design
- Understanding of ML/AI systems and their requirements
- Familiarity with ISO 26262, ISO 21448, and other industry safety standards.
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.
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.
Requirements
Qualifications
- B.S. or higher degree in Systems Engineering, Robotics, Computer Science, Electrical Engineering, Applied Mathematics or related fields with 5+ years of relevant experience
- Strong systems engineering background with experience in requirements management and system architecture
- Proficiency in quantitative analysis and modeling tools
- Deep understanding of fault detection, isolation, and recovery techniques, including redundancy, failover, and graceful degradation strategies.
- Proven ability to develop and integrate fault monitoring and diagnostics tools to proactively identify and address potential system failures.
- Familiarity with industry standards and best practices for fault management and system reliability.
- Strong analytical skills in performance metrics definition and system-level trade-off analysis.
- Excellent technical communication and documentation abilities.
- Demonstrated successful experience working with cross-functional teams in complex technical environments.
Bonus Qualifications
- Advanced degree (MS or PhD) in a relevant field
- Experience with autonomous vehicle development or similar complex robotics systems
- Knowledge of automotive-grade hardware systems and integration requirements
- Familiarity with requirements management tools (e.g., Polarion, DOORS)
- Experience with system safety analysis and requirements validation
- Background in performance modeling and system architecture design
- Understanding of ML/AI systems and their requirements
- Familiarity with ISO 26262, ISO 21448, and other industry safety standards.
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