- Location
- Remote US & Canada · Toronto, ON · San Francisco, CA · Pittsburgh, PA · Phoenix, AZ · Dallas, TX
- Workplace
- Hybrid, Remote
- Type
- Full-time
- Department
- Software
- Seniority
- Senior
- Education
- PhD
- Source
- Lever
Description
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.