Prediction Planning Engineer
 San Francisco, CA
We are a San Francisco based team building self-driving semi trucks. We have raised $117MM in total and are backed by Tiger Global Management ($70MM Series C) and Sequoia Capital ($30MM Series B). We move freight daily between LA and Phoenix using our purpose built transfer hubs. This is an incredibly exciting time for autonomous driving and our team is looking to grow.

Our planning team is looking for a software engineer to focus on building out our prediction system. Your code will be deployed to production trucks moving freight daily on the highway. Prediction bridges the gap between perception and planning to help predict the trajectories and behavior of the vehicles all around our truck. Having already worked in planning for a robotics system is a huge bonus. Your work will help enable the planning team to make safer and more accurate decisions. 

Responsibilities / Projects:

  • Building systems to estimate the future behavior and trajectories of vehicles around our trucks
  • Using a variety of classical AI methods
  • Designing and improving our existing algorithms for highway driving to handle a variety of situations and environments
  • Writing optimized C++ and Python 

Your Experience Might Include:

  • 2+ years of experience writing high quality production quality code in C++ / Python 
  • 2+ years working in robotics or related fields on path planning
  • Comfort with fundamentals of probability and statistics
  • Building models using a variety of machine and deep learning techniques

When you apply, address the application to Michael and let me know why you want to join our team.

A few company highlights:
Embark Blog - Series C and Transfer Hubs
Forbes - 70 Million Dollar Series C
Video - Day in the life of a self-driving truck
Embark Blog - Disengagement Report
30 Million Dollar Series B led by Sequoia