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Senior / Staff Machine Learning Engineer, Vehicle Dynamics

Waabi· Software – Autonomy & Algorithms
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Hybrid (Remote US & Canada / Toronto, ON / San Francisco, CA / Pittsburgh, PA / Phoenix, AZ / Dallas, TX)$241k - $320kFull-timePosted 4w ago

About the role

Senior/Staff role focused on designing data-driven and ML-based vehicle control methods, developing learned models of vehicle dynamics, and integrating them into closed-loop simulation for self-driving systems.

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.
  • Build the data pipelines, evaluation metrics, and tooling needed to measure whether a learned approach outperforms the classical baseline.
  • Participate and share ideas in technical and architecture discussions, helping define how learning and classical control coexist in a safety-critical stack.

Qualifications

  • 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 field(s) of study.
  • 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.
  • Ability to rapidly prototype and test new algorithms, and to design the experiments that prove whether they work.
  • Open-minded and collaborative team player with the willingness to help others.
  • Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Skills

Required:Control theoryMachine learning for physical systemsProgrammingDeep learning frameworks

Benefits

  • competitive perks & benefits
  • equity incentive awards and an annual performance bonus
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Waabi

pioneering Physical AI, starting with autonomous trucks.

Waabi is pioneering Physical AI, starting with autonomous trucks. We developed a next-generation approach leveraging an end-to-end interpretable and verifiable AI model that’s powered by the industry's most realistic neural simulator. This dramatically reduces the development time and resources needed to bring self-driving vehicles to public roads — safely and at scale.

Autonomous trucksPhysical AIneural simulatorAI modelself-driving vehicles
Company profileWebsite

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