Senior / Staff Software Engineer, Zoox

• Master's or PhD degree in computer science or related field and 5+ years of relevant experience
• Fluency in modern C++ standards, programming and software design principles
• Strong knowledge of algorithmic design, implementation and optimization
• Prior experience or expertise in machine learning, either in model architecture or production data pipelines
• Demonstrated ability to communicate and collaborate cross-functionally

Desirable

• The Active Prediction Integration team is responsible for the development of a unified prediction and planning architecture, by integrating ML-based and first-principles-based models
• It is a highly cross-functional team that collaborates with planning, prediction and behavior ML, and perception engineers to critically influence robot behaviors
• You’ll be part of a passionate team dedicated to enabling Zoox’s rider-first experience by making the autonomous robot safer, smarter and more comfortable
• Together with the team, you will advance the state of the art in prediction and decision-making. We are looking for engineers with experience in developing and integrating advanced ML models in safety-critical production environments
• If you enjoy learning new AI technologies and embrace the challenges of evolving prediction and planner architectures, we would like to hear from you
• You will work closely with Prediction and Planner to integrate advanced ML models and develop first-principles based safeguards, to ensure trustworthy prediction and decision making
• You will inform and guide the development of new ML models and should be willing to dive deep and address issues in the model and data pipelines
• You will design interfaces between prediction and planning, creating abstraction layers that facilitate modular integration of various machine learned components within the planning architecture
• You will create principled algorithmic improvements to specific areas of driving behavior and implement those changes in our code base
• You will facilitate the collaborations between the prediction data/modeling teams and the planning and control teams in order to deliver architectural changes to the system