Autonomy Engineer, Motion Control

Core responsibilities:

• Work closely with teammates to design dynamics modeling and control methods
• Develop system modeling algorithms and parameter estimation methods
• Contribute to implementations of control systems
• Be rigorous with implementation of unit tests and integration tests based on functional requirements
• Contribute to code review, design review, planning, and general collaboration efforts
• Work with other teams to understand and satisfy architectural, hardware, and platform requirements

This role contributes to developing autonomous vehicle systems that make transportation more accessible, affordable, and sustainable, empowering communities to thrive and unlocking economic and social prosperity through carbon-neutral transit solutions.

Required qualifications:

• PhD and 2 years of professional experience or BSc/MSc and 5 years of professional experience
• C++ programming skills: experience with C++20 standard libraries, unit testing frameworks like gtest, and build systems like CMake or Bazel
• Control system implementation skills: experience implementing optimal control algorithms (MPC or LQR variations) for nonlinear, parameter-varying dynamical systems on hardware
• Dynamic modeling background: experience modeling MIMO systems in state-space representation, system identification, parameter estimation, and 6DOF kinematics using quaternions or rotation matrices
• Familiarity with dynamics simulation software and/or simulation software in C++

No specific benefits, compensation, or perks mentioned in the job description.

Glydways is reimagining public transit with a mission to revolutionize transportation through a carbon-neutral, interconnected transit network powered by standardized autonomous vehicles on dedicated roadways, aiming to create a future where everyone has the freedom to move.