Software Engineer, Agtonomy

• This role is perfect for someone who loves combining math and software, and is excited about applying their experience to make robots drive in smart ways in rugged, agricultural environments
• Deep understanding and experience implementing various planning techniques (sampling methods, graph search, and trajectory optimization, etc.)
• Experience effectively implementing math (geometry, linear algebra, etc.) in software in order to solve problems related to geometric reasoning, optimization costs/jacobians, and vehicle motion modeling
• Strong proficiency in modern C++ and experience writing efficient algorithms for resource-constrained embedded systems
• Ability to thrive in a fast-moving, collaborative, small team environment with lots of ownership
• Excellent analytical, communication, and documentation skills with demonstrated ability to collaborate with interdisciplinary stakeholders outside of Autonomy
• An eagerness to get your hands dirty by testing your code on real robots at real customer farms (gives “field testing” a whole new meaning!)

Desirable

• As a Planning Engineer on the Autonomy Team, you will develop algorithms that enable our vehicles to plan safe trajectories around dynamic and static obstacles
• You will work on creative solutions for the generation of feasible routes through semi-structured farms and other properties
• You will work closely with perception, localization, and controls engineers on the team to design and evolve the upstream and downstream interfaces of the planning system
• Designing and implementing new features for our planning stack to enable vehicles to plan their way through challenging situations safely and intelligently
• Adding new capabilities to our routing stack to better explore semi-structured space and compute feasible routes
• Predicting the behavior of dynamic obstacles in the environment to improve overall vehicle driving performance and safety
• Architecting, designing, and implementing software applications, as well as onboard and offboard infrastructure and tools to support those applications
• Developing portable, scalable, and fast geometry and optimization libraries
• Writing performant, well-tested software, and improving code quality of the entire Autonomy team through code and design reviews

• Our interview process is generally conducted in five (5) phases:
• 1. Phone Screen with People Operations (30 minutes)
• 2. Video Interview with the Hiring Manager (45 minutes)
• 3. Coding Challenge and Technical Challenge (1 hour with an Autonomy Engineer)
• 4. Panel Interview (Video interviews scheduled with key stakeholders, each interview will be 30 to 45 minutes)
• 5. Final Interviews (CEO, CFO, VP of Engineering, 30 minutes each)