Staff Planner SW Quality Architect

You will...

• Lead the SW Quality of our Planner Architecture, focusing on building robust fault-tolerance systems to resolve critical downstream/upstream performance bottlenecks and ensure continuous, safe vehicle operation.
• Act as a critical technical bridge and enabler between the Motion Planning and the Onboard SW Teams, driving overall SW quality improvement and reliability.
• Design and develop motion planning software and algorithms, building the brain which orchestrates decision making in dynamic, uncertain and interactive traffic scenarios.
• Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.
• Manage the experimentation pipeline for research and data generation.

Qualifications:

• MS/PhD or Bachelor degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
• Experience owning software on a shipped product with reliability requirements.
• Strong grasp of software engineering principles (i.e. code review, unit testing, scalability, maintainability, SW architecture, full lifecycle).
• Experience in planning/decision making approaches (e.g., optimal control, optimization based approaches, search methods, probabilistic decision making).
• Production-quality coding skill in Python or C++.
• Open-minded and collaborative team player with the willingness to help others.
• Able to maintain progress towards long-term goals while working on short-term problems.
• Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.