Senior / Staff Machine Learning Engineer, Vehicle Dynamics

Job summary

Responsibilities

• Design and develop data-driven and machine-learned approaches to vehicle control problems, bringing modern ML to a domain traditionally solved with classical methods.
• Develop learned models of vehicle behavior and dynamics, and integrate them into the closed-loop simulation.
• Apply machine learning to improve how the controller adapts across vehicles and operating conditions.
• Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.
• Own problems end to end, from conceptualization and offline experimentation through simulation and on-vehicle validation.

What they're looking for

• MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Robotics, Controls, Mechanical/Electrical Engineering, Computer Science and/or similar technical…
• Demonstrated depth in control theory and dynamic systems (e.g., MPC, optimal control, state estimation, system identification, kinematic and dynamic vehicle modeling).
• Hands-on experience applying machine learning to a physical system, with real hardware in the loop rather than simulation alone.
• Production-quality coding skill in Python and C++, and experience with deep learning frameworks such as PyTorch.
• Solid problem solving skills using linear algebra, optimization, statistics & probability.

Tech stack

• Python
• C++
• PyTorch