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Sensing and Perception System Safety Engineer
📅 Sep 4
System Safety EngineeringSensing And Perception SystemsSafety RequirementsFail-operational System Design
📜 Description
- Define safety requirements for camera, lidar, radar, sensor-fusion, and perception subsystems.
- Lead cross-functional projects with software, hardware, operations, data science, and verification and validation teams to support safety arguments.
- Design safety mechanisms with engineering teams using ISO 26262 and SOTIF (ISO 21448).
- Develop fail-operational, cost-optimized sensing architectures and guide next-generation sensor selection.
- Analyze field and simulation data to investigate issues, determine next steps, and validate assumptions.
- Use AI and LLM tools to accelerate analysis and automate repetitive work.
🛠️ Requirements
- BS or MS in a related technical field, such as Electrical/Electronics Engineering, Computer Engineering, Mechanical Engineering, Computer Science, Robotics, Mechatronics, etc.
- Experience as a Design or Systems Engineer for complex or mission-critical systems with high levels of fail-operational redundancy especially in domain of sensing and perception
- 3+ years of hands-on systems, safety, or related engineering experience with a focus on analysis of safety critical high-integrity systems in Automotive, ADAS, Autonomous vehicles, Aerospace or Robotics industries
- Effective communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
- Experience with sensing hardware, physics, limitations and tradeoffs especially in safety-critical applications and fail operational systems
- Experience in the application of ISO 26262 (Functional Safety) and ISO 21448 (SOTIF) to L2+ ADAS and autonomous vehicles; Experience with hazard analysis, functional decomposition, validation, and verification
- Experience with Python and/or Databricks for data mining, analysis and visualization
- Strong analytical skills in performance metrics definition and system-level trade-off analysis
- Understanding of modern perception stack, ML/AI systems and their requirements, and integration challenges
- Experience using requirements management tools such as Polarion (preferred), DOORS or Jama
Full job description
Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and deploy such a robotaxi solution safely and reliably. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. We are seeking a System Safety Engineer to perform safety analyses of complex hardware and software systems, specifically Sensing and Perception Systems. You will work across hardware and software domains to develop comprehensive system safety requirements and metrics that ensure safe, fail operational and reliable sensing capabilities for our autonomous vehicle platform.
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 accommodations@zoox.com 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.In this role, you will:
Define safety requirements for sensing (e.g. camera, lidar, radar) and perception (sensor fusion, ML models) subsystems
Lead cross-functional technical projects across Software, Hardware, Operations, Data Science, V&V teams to ensure we have the appropriate data and solutions to support our safety arguments
Collaborate with perception, hardware, software, firmware and other systems engineering teams to design safety mechanisms by leveraging ISO 26262 (e.g HARAs, Functional Safety Concepts, etc.) and SOTIF (ISO 21448) standards
Work with partner teams to develop safe, fail operational, and cost-optimized, next-generation sensing architectures and guide the selection of next-generation sensors
Analyze field and simulation data to root cause issues, identify next steps or validate assumptions
Leverage AI/LLM tools to accelerate analysis and automate repetitive processes, improving team efficiency
Qualifications
BS or MS in a related technical field, such as Electrical/Electronics Engineering, Computer Engineering, Mechanical Engineering, Computer Science, Robotics, Mechatronics, etc.
Experience as a Design or Systems Engineer for complex or mission-critical systems with high levels of fail-operational redundancy especially in domain of sensing and perception
3+ years of hands-on systems, safety, or related engineering experience with a focus on analysis of safety critical high-integrity systems in Automotive, ADAS, Autonomous vehicles, Aerospace or Robotics industries
Effective communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
Bonus Qualifications
Experience with sensing hardware, physics, limitations and tradeoffs especially in safety-critical applications and fail operational systems
Experience in the application of ISO 26262 (Functional Safety) and ISO 21448 (SOTIF) to L2+ ADAS and autonomous vehicles; Experience with hazard analysis, functional decomposition, validation, and verification
Experience with Python and/or Databricks for data mining, analysis and visualization
Strong analytical skills in performance metrics definition and system-level trade-off analysis
Understanding of modern perception stack, ML/AI systems and their requirements, and integration challenges
Experience using requirements management tools such as Polarion (preferred), DOORS or Jama
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