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Mid LevelFull-timeC++Machine Learning
Salary Range
$168,000 - $270,000 /year
<div>Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution. This role will be a part of a team to expand Zoox’s autonomous mobility to new geofences. We are looking for a Software Engineer to improve and develop autonomous driving capabilities in new conditions.</div>
In this role, you will:
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Design behavioral and motion planning algorithms to improve driving behavior in new geofences and implement those designs in our code base.
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Adapt existing algorithms and software modules for autonomous driving in new geofences.
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Integrate and test your developed applications in the robot, learn, and make improvements.
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Work collaboratively with cross-functional teams to support the integration and validation of software components and features for geofence expansion.
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Support or lead vehicle testing to generate actionable feedback on driving performance.
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Write and file patents for novel technologies you develop.
Qualifications
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Master's degree in Computer Science or related field and 3+ years of experience
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Proficient in C++ programming
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Proven experience in at least one of the following domains: behavioral planning, motion planning, or mission planning for autonomous vehicles
Bonus Qualifications
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Experience with behavioral and motion planning for high-speed autonomous driving
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Experience with autonomous robots and machine learning or data-driven development processes
Free to sign up. Takes 30 seconds.
About zoox
Zoox is an autonomous vehicle technology company focused on revolutionizing transportation through advanced robotics and artificial intelligence. Headquartered in the United States, Zoox emerged from the growing field of autonomous mobility solutions, aiming to redefine urban and suburban travel. The company was founded in 2014 by a team of engineers and visionaries dedicated to creating a safer, more efficient transportation future. Zoox operates at the intersection of automotive engineering, software development, and robotics, leveraging cutting-edge technology to develop self-driving vehicles designed for shared mobility services. Zoox's primary product is a purpose-built autonomous vehicle designed for ride-hailing and shared mobility applications. The vehicle features a symmetrical, two-seat design with no traditional steering wheel or pedals, optimized for passenger comfort and safety. Key features include advanced sensor suites, AI-driven decision-making systems, and the ability to operate in complex urban environments. Zoox targets urban and suburban areas where traffic congestion and safety concerns are prevalent, offering a scalable solution for transportation providers and cities looking to integrate autonomous mobility into their infrastructure. The company's technology is designed to reduce accidents caused by human error and decrease traffic emissions. Zoox has gained significant recognition in the autonomous vehicle industry for its innovative approach and technological advancements. The company was acquired by Amazon in 2020, further solidifying its position as a leader in the field. Zoox's unique value proposition lies in its fully integrated, end-to-end autonomous driving system, which includes vehicle design, software, and operational infrastructure. By focusing on a shared, autonomous future, Zoox aims to transform urban mobility, making transportation more accessible, efficient, and sustainable for all.
