<div><span>Our Calibration, Localization, and Mapping (CLAMS) team is responsible for building the algorithms and tools necessary for keeping Zoox vehicles well calibrated, always knowing where they’re located within the world, and aware of their environment. Without precise calibration, localization, and mapping our vehicles would be at a disadvantage when it comes to perceiving and reasoning about the surrounding world, and is therefore foundational in enabling results from many other teams across Zoox. This work is critical for scaling autonomous driving in a safe and reliable way. We are looking for engineers who are ambitious and excited about helping Zoox achieve our goals to deliver autonomous mobility.</span></div><div><br /></div><div><span>Together with the Localization team, you will develop software that measures the performance and stability of our pose systems. It will run at scale in the cloud on large Datasets, leveraging validation tooling and resources from across the Autonomy team. You will help define key metrics, and enable more efficient metric collection/analysis that will prevent regressions, drive performance improvements, and allow our Localization systems to scale. </span></div><h3>In this role, you will:</h3><ul><li>Improve our Localization validation tooling by designing and delivering new validation features and enhancing our existing framework.</li><li>Understand and analyze Localization data to deliver meaningful insights and help drive future feature development and systems analysis focus areas.</li><li>Leverage the advantages of cloud/offline processing (more compute, non-real time, etc) to curate datasets useful for testing and training components of the Localization system.</li><li>Help Localization scale as we continue to build more vehicles, operate in larger areas, and drive more autonomous miles.</li></ul><h3>Qualifications</h3><ul><li>Bachelors, Masters or PhD in Computer Science or related field </li><li>At least 4 years of industry experience </li><li>Fluency in C++ or Python</li><li>Experience with robotics systems</li><li>Experience with AWS/S3 or similar cloud compute systems</li></ul><h3>Bonus Qualifications</h3><ul><li>Experience developing large scale data analysis systems</li><li>Experience with localization software and algorithms</li><li>Experience deploying and managing containerized applications using Kubernetes, Docker, and ArgoCD</li></ul><div>Compensation</div><div>There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidates relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g., sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.</div><div><br /></div><div>Vaccine Mandate</div><div>Employees working in this position will be required to have received a vaccine approved by the U.S. Food and Drug Administration and/or the World Health Organization. In addition, employees who are eligible for a COVID-19 booster vaccine (“Booster”) will be required to receive a Booster. Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.</div>