17 days ago
Remote, United States +6 moreSenior / Staff+
Base Salary
$241k - $320k/yr
Responsibilities
- Design and develop machine-learned approaches to vehicle control problems.
- Develop learned models of vehicle behavior and dynamics and integrate them into closed-loop simulation.
- Apply machine learning to improve controller adaptation across vehicles and operating conditions.
- Own work from conceptualization and offline experimentation through simulation and on-vehicle validation.
- Build data pipelines, evaluation metrics, and tooling to compare learned approaches with classical baselines.
- Participate in technical and architecture discussions defining how learning and classical control coexist in a safety-critical stack.
Requirements
- MS or PhD, or a bachelor's degree with at least 4 years of industry experience, in Robotics, Controls, Mechanical or Electrical Engineering, Computer Science, or a similar technical field.
- Demonstrated depth in control theory and dynamic systems, including areas such as MPC, optimal control, state estimation, system identification, and vehicle modeling.
- Hands-on experience applying machine learning to a physical system with real hardware in the loop.
- Production-quality programming skills in Python and C++, with experience using deep learning frameworks such as PyTorch.
- Strong problem-solving skills involving linear algebra, optimization, statistics, and probability.
- Ability to rapidly prototype and test algorithms and design experiments to evaluate their performance.
- Collaborative mindset and willingness to help others, with enthusiasm for self-driving technologies and complex technical problems.
Benefits
- Competitive perks and benefits are provided.
- Additional compensation includes equity incentive awards and an annual performance bonus.
Categories
ML EngineeringRobotics
About Waabi
Waabi builds AI-driven self-driving technology for long‑haul freight, centered on the Waabi Driver autonomous trucking system and the Waabi World simulator. The company partners with carriers and vehicle makers to commercialize autonomous trucks and explores robotaxi applications. Founded in 2021 by Raquel Urtasun, Waabi is privately held, headquartered in Toronto, with offices in San Francisco, Dallas, and Pittsburgh.