Zoox, a pioneering company in autonomous vehicle technology, is seeking a Staff Systems Engineer to lead their Perception System Verification and Validation efforts. This role is crucial within the System Design and Mission Assurance (SDMA) team, which is responsible for ensuring the safety of their autonomous vehicles before deployment.
The position offers an exciting opportunity to work at the intersection of autonomous driving, machine learning, and systems engineering. As a Staff Systems Engineer, you'll lead a small team developing cutting-edge verification and validation methodologies for the Perception stack. The role involves working with complex systems including cameras, radar, and LIDAR, while leveraging both traditional and innovative ML-based testing approaches.
The compensation package is comprehensive, ranging from $189,000 to $273,000, plus Amazon RSUs and Zoox Stock Appreciation Rights. The company offers excellent benefits including various insurance options and paid time off. Located in Foster City, CA, with a hybrid work arrangement, this position provides a balance between office collaboration and remote work flexibility.
This is an ideal role for an experienced systems engineer with a strong background in perception systems, machine learning, and team leadership. The position requires 7+ years of industry experience and offers significant growth opportunities through demonstrated achievement. You'll be working in a transparent, respectful culture that values diverse perspectives and innovative thinking.
The role combines technical leadership with hands-on engineering work, requiring expertise in Python, SQL, and Linux systems. You'll be instrumental in developing new testing methodologies, managing test campaigns, and contributing to Zoox's safety case for autonomous vehicles. The position offers the unique opportunity to shape the future of autonomous mobility while working with cutting-edge technology and a talented team.