Software Engineer - Fail Operational Planning

Zoox's Fail Operational Planning team is at the forefront of autonomous vehicle technology, focusing on ensuring robust robot operation even during system degradation or minor failures. This role offers an opportunity to work on cutting-edge autonomous driving challenges, specifically in fail-operational planning and vehicle reliability.

As a Senior Software Engineer, you'll be instrumental in developing next-generation algorithms that enhance the robot's driving capabilities in complex scenarios. The position requires collaboration with diverse experts across Planner, Perception, Prediction, and Hardware teams. You'll be responsible for implementing sophisticated algorithms, identifying system failure modes, and developing mitigation strategies.

The role combines technical expertise in C++ programming, algorithm design, and vehicle kinematics with a product-focused approach. You'll work in a hybrid setting in the San Francisco Bay Area, contributing to a technology that's reshaping urban mobility. The compensation package is competitive, including base salary, Amazon RSUs, and Zoox Stock Appreciation Rights, plus comprehensive benefits.

This is an ideal opportunity for someone with strong technical skills who wants to make a significant impact in autonomous vehicle technology. You'll be working on real-world applications of robotics and AI, helping to ensure safe and reliable autonomous vehicle operation in urban environments. The role offers both technical challenges and the opportunity to work with cutting-edge technology in a rapidly evolving field.