Senior Motion Planning and Control Engineer
Motional- Full Time
- Senior (5 to 8 years)
Candidates should possess a Bachelor’s or Master’s or Ph.D. degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics, or a related technical field. They must be proficient in Python programming, demonstrate a collaborative and open-minded approach, and possess a passion for self-driving technologies and innovative problem-solving. Prior research or software engineering experience, including internships, work experience, coding competitions, or research projects, is required, alongside a strong quantitative background in vehicle dynamics, signal processing, and data analysis.
The Vehicle Model Simulation Intern will improve existing actuator models for steering, brake, throttle, and engine brake, investigate and model the vehicle transmission system for offline validation, explore higher fidelity dynamics models, gather and verify data for new models, and participate in a multidisciplinary team to design, implement, train, and optimize vehicle dynamics and actuator models in simulation. They will also contribute to the overall AI-first approach to enable safe self-driving at scale.
Develops self-driving technology for trucking
Waabi focuses on developing self-driving technology specifically for the trucking industry. Their main product, the Waabi Driver, is designed to learn from experiences, adapt to new situations, and work with various hardware setups. This technology aims for large-scale use and is intended for integration into vehicles by original equipment manufacturers (OEMs). A key feature that sets Waabi apart from competitors is its use of Waabi World, an advanced simulation environment that allows for efficient development of their self-driving systems. This reduces the need for extensive real-world testing, which can be costly and time-consuming, while also improving safety and adaptability. Waabi's goal is to transform the trucking industry by providing technology that lowers operational costs and enhances safety for commercial vehicles. They aim to license their technology to trucking companies and OEMs, making it easier for these businesses to adopt self-driving solutions.