In our Motion Planning team, you'll apply your passion for robotics and software development for production-ready autonomous vehicles. In this role, you'll perform groundbreaking research, conduct design processes, and implement performance-critical algorithms to generate safe, comfortable, and intuitive autonomous vehicle behaviors across Motional’s fleet of robotaxis.

Technical Scope:

• Develop state-of-the-art motion planning algorithms to ensure the vehicle autonomously navigates safely and smoothly.
• Design and build robust and scalable software that enables rapid exploration and evaluation of different motion planning approaches and algorithms.
• Collaborate with upstream decision/behavior planning, prediction, and downstream motion tracking algorithms.
• Leverage modern development toolchains to enable rapid development cycles, including testing, simulation, and continuous integration.

Role responsibilities:

• As a senior engineer, you will be expected to create project proposals that drive long-term technical roadmap and span multiple sub-systems.
• Actively contribute to technical team discussions on new features and formulation improvements and bring new ideas.
• Investigate on-road performance with root cause analysis and in-depth bug finding.
• Understands and explains trade-offs and complex concepts to peers and leaders to drive decisions.
• Mentor junior team members to develop a culture of product-focused engineering, research, and development.

What we're looking for:

• 5+ years of modern C++ software development
• Bachelors, Masters, or PhD degree preferred in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• Experience with algorithm development in motion planning, navigation, or any robotics or safety-critical systems.
• Experience owning and leading technical development on features from problem formulation through algorithm design and implementation to delivery with impact.

Bonus:

• Knowledge of Python
• Experience with Machine Learning based planning/control methods