Software Engineer - Perception

Zoox, a pioneering company in autonomous vehicle technology, is seeking a Software Engineer for their Perception team. This role presents an exciting opportunity to work at the forefront of autonomous vehicle technology, focusing on developing cutting-edge perception systems that will power the future of urban mobility.

The position offers a competitive compensation package ranging from $160,000 to $265,000, complemented by Amazon RSUs and Zoox Stock Appreciation Rights. Based in Boston, MA, with a hybrid work arrangement, this role provides the perfect blend of flexibility and in-person collaboration.

As a Software Engineer in the Perception team, you'll work with the world's best sensor data and state-of-the-art infrastructure for testing and validating algorithms. Your responsibilities will include developing novel architectures for understanding complex urban environments, creating advanced algorithms for segmentation, tracking, and classification, and contributing to high-level scene understanding systems.

The ideal candidate should possess an advanced degree (Master's or PhD) in computer science or a related field, demonstrating expertise in C++ programming and modern computer vision techniques. Strong mathematical skills and experience with real-time systems are essential. The role offers exposure to cutting-edge technology in autonomous vehicles, computer vision, and machine learning.

Zoox offers a comprehensive benefits package, including various insurance options, stock appreciation rights, and flexible time off. The company's mission to revolutionize urban mobility through fully autonomous vehicles presents an unique opportunity to work on transformative technology that will shape the future of transportation.

The collaborative environment at Zoox emphasizes diversity and innovation, welcoming candidates from various backgrounds and experiences. This role is perfect for someone passionate about autonomous vehicles, machine learning, and computer vision, offering the chance to work on challenging problems with real-world impact.