Collaborate with cross-functional teams (autonomy software, data platform, operations, AI architecture) to define and refine safety requirements and system architectures prioritizing reliability and fault tolerance
Design and implement validation processes and metrics to evaluate autonomous system behavior under degraded or fault conditions, including simulation scenarios and test automation scripts
Resolve integration conflicts between safety requirements and functional objectives through hands-on design reviews and iterative prototyping with software and systems engineers
Contribute to Python-based data analysis, simulation scripting, and automated testing of safety features, with occasional C++ integration
Document safety concepts, test results, and compliance evidence to support internal reviews, customer deliverables, and third-party safety assessments
Technical Stack
Must-have Skills
Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or related discipline (or equivalent experience)
5+ years in safety-critical automotive, aerospace, or robotics systems in production
Proficiency in Python for safety-related data analysis, simulation scripting, automated test/report generation
Deep experience with ISO 26262 and familiarity with SOTIF (ISO 21448) in real-world projects
Strong cross-functional communication and documentation skills
Nice-to-have Skills
Master’s or Ph.D. in relevant field
Experience developing or integrating software components for autonomous driving or real-time robotics systems
C++ (C++14+) proficiency for safety-critical embedded software
Knowledge of safety analysis methods (FMEA/FMEDA, FTA)
Experience with requirements management and traceability across the lifecycle
Experience in safety case development or safety argumentation for Level 4 autonomous driving
Career Growth Perspective
Influence safety-centric architecture for driverless MaaS at scale within a Toyota-backed innovation environment
Build expertise in ISO 26262, SOTIF, safety case development, and cross-functional collaboration across software, data, operations, and AI teams
Hands-on coding and system integration experience, accelerating growth in verification, risk assessment, and safety engineering leadership