Research Engineer, Waabi

• MS/PhD or Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study
• Demonstrated software engineering experience through previous internships, work experience, coding competitions, and/or research projects
• Experience working in a team environment on a common codebase
• Experience in data processing pipelines, ETL pipelines, distributed computing
• Ability to learn new technologies quickly
• Open-minded and collaborative team player with willingness to help others
• Passionate about self-driving technologies, solving hard problems, and creating innovative solutions

Desirable

• The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks
• As a research engineer for Learnable Planner you will support generation and curation of data needed to train and evaluate Waabi’s planner enabling our launch of fully driverless autonomous trucks
• You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World
• Develop infrastructure for generating data for training and evaluation at scale for autonomy, with a focus on planning performance
• Create mechanisms for categorization, curation and cleaning in order to deliver high quality datasets, consisting of both nominal and long-tail scenarios, sourced from a combination of simulation and the real world
• Design metrics and evaluation pipelines for understanding and triaging autonomy performance, and tighten the feedback loop for improving the system
• Champion engineering excellence, ensuring high-quality, well structured and tested code
• Work with large datasets from various sources as well as Waabi World, our high-fidelity simulator
• Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale