Lead vehicle control innovations at Waabi US Inc. as a Senior Software Engineer, leveraging machine learning to improve adaptive control systems. Contribute to groundbreaking projects in self-driving technology. In this pivotal role, you will design machine-learned solutions to tackle vehicle control challenges typically approached using classical techniques.

Work alongside a team of engineers and researchers focused on protected, scalable self-driving systems. Your experience with control theory, dynamic modeling, and hands-on applications of ML will be essential. Key Responsibilities:

- Develop machine learning approaches for vehicle control problems
- Design vehicle behavior models integrated with simulations
- Optimize controller adaptability across various conditions




- Own projects from conceptualization to validation
- Establish metrics to evaluate learned performance against traditional methods Requirements:
- MS/PhD or Bachelor's with 4+ years in a technical domain
- Strong understanding of control theory and dynamics
- Proficiency in Python and C++, familiarity with deep learning
- Hands-on experience with physical system applications
- Excellent problem-solving and rapid prototyping skills Your expertise in ML and controls is vital to shaping the future of transportation at Waabi US Inc.

📌 Senior Engineer for ML-Driven Vehicle Control (Toronto)
🏢 Waabi
📍 Toronto