Sensing and Perception System Safety Engineer

Job description

Job responsibilities

• 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)…
• 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

Job 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