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Energy Modeling & Machine Learning Internship/Co-Op

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Zoox

Nov 23, 2023

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Engineering
  • $6.5K - $9.5K
  • San Francisco

Requirements

  • Currently pursuing a M.S. or Ph.D. in Mechanical Engineering, Electrical Engineering, Aerospace Engineering or Computer Science (with a focus on Controls engineering)
  • Strong knowledge of vehicle handling, ride and tire dynamics
  • Strong knowledge of control theory, mechanical and electrical control systems
  • Experience working with vehicle dynamics simulation tools such as Carmaker and/or Carsim
  • Experience with Python
  • Bonus Qualifications:
  • Experience with CAN logging tools (e.g. CANalyzer)
  • SAE experience

Responsibilities

  • As a part of the Vehicle Motion, Comfort and Energy Efficiency team, you will be developing fast-running machine learning models for our electric autonomous vehicles, with focus on energy consumption and efficiency on a vehicle, subsystem and component level. As we grow our purpose-built robotaxi fleet and expand to different markets, your methodology and data-driven models will help us increase the accuracy of our vehicle range and efficiency predictions for various cities, drive cycles and other boundary conditions, as well as enable the creation of very fast online predictors (horizon models) in our software stack. This will allow for, not only better understanding and minimizing the energy consumption for a single vehicle, but also maximizing uptime and operational efficiency for our whole fleet.
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Zoox

We’re reinventing personal transportation — making the future safer, cleaner, and more enjoyable for everyone.

Automotive
Industry
1001-5000
Employees
2014
Founded Year

Mission & Purpose

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.