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The Principal Autonomy Integration Engineer at Motional will lead the development of autonomous system products, define strategic vision, and collaborate with various teams to drive progress and innovation in the autonomous vehicle industry.

The Principal Autonomy Integration Engineer will oversee the development of autonomous systems, guiding strategic initiatives and working with teams to define product vision and infrastructure. The role demands strong communication and analysis skills, along with experience in robotics and autonomous vehicles.

As a Senior Motion Planning Engineer, you will develop algorithms and software for autonomous vehicles, focusing on safe and efficient motion planning. You will research and integrate various planning methods, mentor junior engineers, and work collaboratively with other components to improve the overall system.

The Senior Software Engineer will contribute to the motion planning and controls of autonomous vehicles by writing robust software that processes inputs from perception, localization, and mapping to optimize driving decisions. Responsibilities include developing algorithms, unit testing, and working within a team on a shared codebase.

The Principal Software Engineer will contribute to the motion planning and controls of autonomous vehicles by writing and testing robust software. Responsibilities include developing algorithms for navigation, braking, and lane-changing while optimizing for safety and comfort, as well as participating in code reviews and adhering to clean software practices.

As a Principal Software Engineer, you will develop robust software for motion planning and controls in autonomous vehicles, impacting real-time driving decisions. You will engage in unit testing, CI/CD, and version control while collaborating on complex robotics algorithms and systems with multiple developers.

As a Senior Motion Planning Engineer, you will develop algorithms for autonomous driving, integrating motion planning and prediction, while mentoring junior team members and ensuring best software practices.

As a Principal Motion Planning Engineer, you will lead research and development in motion planning for autonomous vehicles, designing and building algorithms, mentorship, and contributing to technical strategies while ensuring clean software for robust decision-making modules.

As a Principal Motion Planning Engineer, you will lead research and develop algorithms for autonomous vehicle motion planning, ensuring safety and efficiency. You'll design scalable software solutions, guide mentorship within the team, and contribute to strategic technical directions.

As a Principal Machine Learning Engineer, you will lead R&D initiatives in autonomous vehicle technology, define team strategy, drive business impact through tech solutions, prototype and implement models, mentor engineers, and promote a culture of inclusion and innovation.

As a Motion Planning Engineer, you will develop algorithms and software for autonomous vehicle motion planning. Your responsibilities include integrating motion planning and prediction algorithms, designing a robust codebase, and collaborating with cross-functional teams. You will also participate in code reviews and foster a culture of innovation within the team.

As a Motion Planning Engineer, you will develop algorithms for autonomous vehicle navigation, integrating motion planning and prediction components, and building scalable code. The role involves research, software development, and collaboration with senior team members.

The Senior Team Lead will oversee a team to deliver embedded software for autonomous vehicle control systems, providing technical leadership, project management, and mentoring. Responsibilities include collaboration with systems engineering, optimizing control components, and driving features to completion, ensuring adherence to safety standards.

The Senior Team Lead will guide an Embedded Software team in the design, testing, and deployment of vehicle control systems for autonomous vehicles, ensuring compliance with safety standards and optimizing software performance. They will collaborate with cross-functional teams and mentor engineers while providing technical direction.

The role involves leading an Embedded Software team in developing autonomous vehicle control systems, overseeing technical requirements, and coordinating with partners on vehicle platform design. The individual is expected to provide technical leadership and mentor team members while ensuring timely project delivery.

As a Senior Motion Planning Engineer, you'll research and develop algorithms for autonomous vehicle motion planning. Responsibilities include creating software systems, integrating algorithms, managing projects, mentoring team members, and collaborating with various technical teams to ensure effective performance and integration of autonomous systems.

The HRIS Analyst will manage Oracle HCM system administration, enhance user experience, troubleshoot issues, conduct data validation, and ensure systems comply with data protection laws. They will work closely with HR, Payroll, IT, and Finance to improve processes and provide system support, alongside maintaining data integrity and developing user documentation and training.

The Senior Engineer will analyze software systems, design and implement RESTful APIs, develop metrics and data pipelines using Python, and build large scale Machine Learning infrastructure for autonomous vehicles. The role requires collaboration with cross-functional teams and problem-solving with advanced algorithms.

The Senior Data Scientist will analyze autonomous vehicle performance using statistical and ML methods, develop metrics, establish correlations between data, and mentor software engineers and data scientists. This role requires strong communication skills to promote data-informed decision making across teams.

The Senior Machine Learning Engineer will work within the Perception and Prediction team to drive project impact for autonomous vehicles, focusing on formulating problems, architecting solutions, and implementing state-of-the-art machine learning algorithms for various applications.