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Develop scalable microservices and APIs for data labeling and maintain data processing pipelines. Collaborate with leadership to set objectives and deadlines while mentoring junior engineers.

The Senior Technical Program Manager will drive integrated software programs across infrastructure, systems, and testing teams to ensure successful execution of technology milestones for the autonomous driving sector. Responsibilities include managing cross-team projects, identifying program risks, communicating with leadership, and developing actionable plans to improve organizational effectiveness.

The Principal Engineer will lead a team focused on building and maintaining large scale data processing pipelines for extracting and transforming information from autonomous vehicle logs, ensuring efficient access and quality data management. This role includes hands-on coding, team mentorship, and collaboration with stakeholders to drive project timelines and deliverables.

The Senior Machine Learning Engineer will contribute to advanced motion planning systems using ML and optimization, develop algorithms for autonomous driving, and design efficient deep learning models. Responsibilities include building scalable codebases, mentoring junior team members, and deploying solutions to autonomous vehicles. The role combines research, development, and practical application in real-world environments.

The Software Engineer will build scalable microservices, REST APIs, and data processing pipelines for Autonomy ML teams. Responsibilities include designing APIs, processing large datasets, and collaborating with stakeholders to align on objectives and deliverables.

As a Principal Machine Learning Engineer, you will lead R&D efforts for autonomous vehicles, defining technical direction, mentoring engineers, and deploying solutions. You will focus on machine learning applications, particularly in perception and prediction, while working with a talented team to innovate in the field of autonomous driving.

The Senior Technical Program Manager will lead software programs focusing on infrastructure in the autonomous driving domain, ensuring effective collaboration among various teams, managing program risks, and tracking progress towards company milestones.