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.
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
Skills Required
- Bachelor’s or master’s degree in a related technical field, such as electrical/electronics engineering, computer engineering, mechanical engineering, computer science, robotics, or mechatronics
- Experience as a design or systems engineer for complex or mission-critical systems with high levels of fail-operational redundancy, especially in sensing and perception
- At least 3 years of hands-on systems, safety, or related engineering experience analyzing safety-critical, high-integrity systems in automotive, ADAS, autonomous vehicles, aerospace, or robotics
- Effective communication and collaboration skills, including the ability to explain complex technical concepts to technical and non-technical stakeholders
- Experience with sensing hardware, physics, limitations, and tradeoffs in safety-critical and fail-operational systems
- Experience applying ISO 26262 and ISO 21448 SOTIF to L2+ ADAS or autonomous vehicles, including hazard analysis, functional decomposition, validation, and verification
- Experience with Python and/or Databricks for data mining, analysis, and visualization
- Strong analytical skills in performance metric definition and system-level tradeoff analysis
- Understanding of modern perception stacks, machine learning and artificial intelligence systems, their requirements, and integration challenges
- Experience with requirements management tools such as Polarion, DOORS, or Jama
Zoox Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoox and has not been reviewed or approved by Zoox.
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Healthcare Strength — Healthcare is extensive, with broad medical and vision options, company‑paid disability coverage, and multiple mental‑health resources. Feedback suggests coverage breadth and auxiliary programs support a wide range of needs.
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Parental & Family Support — Family supports include paid parental leave, additional pregnancy disability time, fertility coverage, and adoption/surrogacy assistance. Backup care and family‑oriented programs further reinforce support across life stages.
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Wellbeing & Lifestyle Benefits — Day‑to‑day perks are robust, including free daily meals, fitness subsidies, commuter support, and on‑site amenities. Feedback suggests these lifestyle benefits enhance convenience and workplace experience, especially for office‑based roles.
Zoox Insights
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation. From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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