Planning and Controls Engineering

San Francisco, CA
Our team is building self-driving trucks for highways. In the fall of 2017 we became the first automated truck team to start operating a freight route moving product from Texas to California across a 650 mile stretch of highway. We kicked off 2018 by being the first to to take an autonomous truck coast to coast on a 2400 mile journey.

This is an incredibly exciting time for autonomous driving and our team is looking to grow our Motion Planning and Controls team. You will design state-of-the-art planning and control algorithms intended to move heavy weight vehicles through complex and dynamic environments.  You will analyze huge amounts of data to understand the intricacies of driving. We will put your algorithms to the test in simulation and in the real world.


    • Experience designing a GNC stack for the real world
    • Deep understanding of state estimation, dynamic modelling, and modern control theory
    • Strong background in machine learning and statistics
    • Experience with C/C++, Python, Matlab/Simulink


    • Experience with decision-making algorithms: MDP/POMDPs, game theory, etc.
    • Experience with deep learning and reinforcement learning
    • Experience with embedded linux and real time systems
    • Exposure to OpenCV and ROS
    • Implemented a control system for a vehicle


    • Help revolutionize transportation as we know it
    • Work in a small team that operates at an incredibly fast pace
    • Lunch, dinner and snacks
    • Competitive salary, equity and benefits including medical, dental & vision
When you apply, address the application to Michael and let me know why you want to join our team.

A few company highlights:
Announcing the longest automated Freight Route in the World
Alex (CEO) talking at Disrupt
Our truck driving for 2 hours in traffic with no takeovers