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Key skills for this role
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
Experience with sensing hardware, physics, limitations and tradeoffs especially in safety-critical applications and fail operational systems
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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
Zoox, an Amazon subsidiary, develops purpose-built autonomous robotaxis designed from the ground up for rider comfort without a traditional driver's seat.
Full-time
Mid
Hybrid
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