• Lead end-to-end project management for the development of autonomous vehicle planning modules, working closely with cross-functional teams, and testing to ensure timely and quality-driven execution of project deliverables.
• Define and oversee the technical roadmap and execution plans for key planning functionalities, including rare-scenario handling, constraint-aware motion planning, and overall system robustness, leveraging deep technical understanding of autonomous driving software systems.
• Manage the full project lifecycle, including requirements definition, milestone planning, resource coordination, risk identification and mitigation, technical documentation, and regular status reporting to stakeholders and senior leadership.
• Contribute to platform architecture and integration strategy, coordinating the deployment of planning algorithms into both simulation platforms and real-world driving environments, ensuring alignment with system-level goals and performance KPIs.
Requirements- Master's degree in Mechanical Engineering, or a related field;
At least 2 years' experience in algorithms planning and software systems within the autonomous driving industry including:
1) Develop and test planning systems;
2) Execute software development lifecycles;
3) Integrate in real-time systems;
4) Optimize motion-planning performance and robustness; and proficiency in C++, Python, Machine Learning, Git, simulation tooling. - Annual salary is $130,000.
