About The Position

The Trajectory Generation and Controls team is responsible for the trajectory generation, optimization, and controls components that enable autonomous trucks to drive. This role is suitable for individuals with real-world experience in Motion Planning, Optimization, and/or Controls, along with a proven track record of deploying real-time, safety-critical software into production. The Staff Software Engineer will be involved in all phases of the software development cycle, from solution design to implementation and deployment. Collaboration with various teams in Autonomy, Systems Engineering, and Operations is essential, promoting a culture of safety, principled engineering, and a customer-oriented mindset.

Requirements

  • BS in Computer Science, Electrical Engineering, Mechanical Engineering or closely related field.
  • 5+ years of software engineering experience.
  • Experience building motion planning and/or control systems for real world applications.
  • Knowledge and experience with vehicle dynamics, system identification and real-time control algorithms.
  • Experience with optimal control or dynamic optimization, especially in the context of model predictive control or real-time trajectory generation.
  • Fluent in modern C++.
  • Experience with Python.

Nice To Haves

  • MS or PhD is a plus.
  • Experience with large ground vehicles is a plus.
  • Experience with tooling and metrics is a plus.

Responsibilities

  • Own the delivery of TG&C features from design to integration, providing a well controlled, safe and comfortable vehicle experience.
  • Provide input to team roadmaps and ensure timely delivery of features.
  • Work closely with systems engineers to ensure a safe, well tested product is delivered.
  • Write state of the art software, using modern C++ and Python. Make extensive use of unit testing, simulation, and log simulation.
  • Work closely with other Autonomy teams (Constraint Generation, Trajectory Selection, World Fusion, Prediction, ...) to design and deploy robust solutions, encompassing all aspects of autonomous driving.
  • Be involved in design and iteration exercises, and help to align stakeholders by using strong presentation and communication skills.
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