What you’ll be doing:

• Design and implement new approaches to help our vehicles plan its way through challenging situations safely and intelligently
• Predict the behavior of objects in the environment to improve overall vehicle driving performance and safety
• Architect, design, and implement software applications, infrastructure, and tools
• Development of reusable geometry and optimization engines and libraries
• Write performant, well-tested software, and improve code quality through code and design reviews

What you’ll bring:

• Understanding of robot configuration and free spacesUnderstanding of various existing planning techniques (sampling methods, graph search, and trajectory optimization, etc.)
• Strong proficiency in modern C++ (11 or newer) test-driven development for resource-constrained embedded systems
• Experience implementing math effectively in software as part of problems in geometric reasoning, optimization cost design, and motion modeling
• Ability to thrive in a fast-moving, collaborative, small team environment with little supervision
• Excellent analytical, communication, and documentation skills with demonstrated ability to collaborate with interdisciplinary stakeholders
• Passion for sustainable agriculture and electric vehicle development

What makes you a strong fit:

• Contributions to geometric, sampling or optimization-based planning algorithmsKnowledge of computational geometry
• Experience driving planning solution selection through capturing and optimizing system metrics
• Experience modeling challenging planning problems through simulation5+ years of experience of software development in autonomy, robotics or related field.
• MS or PhD in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or related field