Lead the design, integration, troubleshooting, and validation of complex electrical, mechanical, networking, and embedded systems for autonomous vehicles. Diagnose intermittent failures, develop integration test plans, document system architectures and validation procedures, coordinate with engineering teams and external partners, and mentor junior engineers. The role requires expertise in vehicle networks, Linux troubleshooting, UDS diagnostics, embedded systems, and functional safety practices including ISO 26262 and FMEA.

Lead research and development of advanced motion-planning algorithms for autonomous vehicles. Design production-ready, high-performance C++ software; integrate planning with perception, prediction, optimization, tracking, and control systems; evaluate algorithms for real-world deployment; and mentor junior engineers while guiding complex technical initiatives.

Owns executive reporting for autonomous vehicle system performance, including the weekly Software Performance Review and broader commercial readiness analyses. Synthesizes robotics data, diagnostic evaluations, and performance metrics into strategic narratives for senior leadership. The role aligns cross-functional engineering data, automates reporting pipelines and presentation generation, establishes visualization standards, and mentors junior engineers. It requires deep knowledge of robotics, autonomous vehicle performance, data architectures, executive communication, and AI-assisted development workflows.