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.