Toulouse : R&D Engineer - System modeling - Control Engineer F/H

EasyMile is hiring!

About

Pioneer in driverless mobility, EasyMile revolutionizes passenger and goods transportation.

For the past 4 years, EasyMile has developed and deployed autonomous mobility solutions worldwide based on vehicles manufactured by recognized industrial partners. EasyMile’s clients include the world’s largest transport operators, city authorities, airports, corporations, business parks, and universities.

EasyMile supplies smart mobility solutions and autonomous technologies powering driverless vehicles with existing products such as: the EZ10, a 100% electric driverless shuttle deployed in 20 countries worldwide; the TractEasy, the first autonomous electric baggage tractor jointly developed with TLD; and many other projects to be unveiled soon.

EasyMile’s team is composed by more than 160 high skilled and passionate employees specializing in robotics, computer vision and vehicle dynamics.
The company has it own headquarter in Toulouse (France) and regional offices in Singapore (Asia), Denver (USA), Berlin (Germany) and Adelaide (Australia).

Job Description

We are looking for highly motivated people to build the road ahead and invent solutions to challenges never met before.

Beyond excellent technical skills, we are looking for the right attitude: ambition, creativity and perseverance.

Highlighting strong values such as innovation, excellence and team spirit, EasyMile’s team keeps pushing boundaries to invent the future of mobility.

Your future responsibilities :

  • Design and implement new control strategies for challenging navigation scenarios (robust path following, maneuvers, precise stops for docking, etc.)
  • In the Navigation software team, you will be in charge of maintaining and improving the models of the different platforms that are used in the navigation stack.
  • Extend the models to more complex modalities (weather, road conditions, etc.)
  • Conduct tests on the different platforms to develop and validate the models
  • Develop, test, and document high quality source code
  • Participate to the control architecture design
  • Test new developments on our test bench and on real vehicles
  • Participate in the continuous improvement of our software: analyse logs from the field, fix issues, improve navigation robustness

Preferred Experience

makes us strong!

Don't hesitate to apply if you are motivated and interested by innovative transportation and technologies .

We are looking for:

  • Fluent in English, Matlab, Simulink and Python
  • Comfortable with C++14
  • Comfortable with modeling physical concepts
  • Modeling of dynamic systems, control theory, system identification techniques, ideally applied in robotics
  • +3 years of experience in navigation / control applied on mobile robots
  • MSc/PhD in Robotics, Control, Applied Mathematics or relevant field

Desirable:

  • Computational geometry
  • Model Predictive Control
  • ROS
  • Git, CMake

Additional Information

  • Contract Type: Full-Time
  • Start Date: 15 March 2020
  • Location: Toulouse, France (31000)
  • Education Level: Master's Degree
  • Experience: > 3 years