Sensing and Perception System Safety Engineer
Develops safety requirements, analyses, and fail-operational architectures for autonomous-vehicle sensing and perception systems. The role requires 3+ years analyzing safety-critical systems and familiarity with functional-safety standards, sensing hardware, perception, and cross-functional systems engineering.
About the job
Responsibilities
- Define safety requirements for sensing systems, including cameras, lidar, and radar, and perception subsystems such as sensor fusion and machine-learning models.
- Lead cross-functional technical projects involving Software, Hardware, Operations, Data Science, and Verification and Validation teams.
- Collaborate with perception, hardware, software, firmware, and systems engineering teams to design safety mechanisms using ISO 26262 and SOTIF (ISO 21448) standards.
- Develop safe, fail-operational, and cost-optimized sensing architectures and guide selection of next-generation sensors.
- Analyze field and simulation data to identify root causes, next steps, and assumption validation.
- Use AI and large-language-model tools to accelerate analysis and automate repetitive processes.
Requirements
- 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 designing or engineering complex or mission-critical systems with substantial fail-operational redundancy, particularly sensing and perception systems.
- 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.
Nice-to-haves
- Experience with sensing hardware, physical principles, limitations, and tradeoffs in safety-critical and fail-operational systems.
- Experience applying 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-metric definition and system-level tradeoff analysis.
- Understanding of modern perception stacks, ML/AI systems and their requirements, and integration challenges.
- Experience with requirements-management tools such as Polarion, DOORS, or Jama.
Skills
System Safety, Safety Requirements, Iso 26262, Sotif, Iso 21448, Sensor Fusion, Autonomous Vehicles, Adas, Python, Databricks, Polarion, Doors, Jama, Hazard Analysis, Requirements Management
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