As a Senior Software Engineer in the ML Data Services team, you will design and implement scalable microservices and RESTful APIs, develop data processing pipelines using cloud ETL, and ensure high-quality annotations for Autonomy ML teams while collaborating with stakeholders.

The Senior Data Pipeline Engineer will design and implement large-scale data processing and transformation pipelines, maintain scalable cloud infrastructure, mentor junior engineers, and collaborate with stakeholders to identify system requirements, ensuring reliable data pipelines.

As a Senior Frontend Engineer for Cloud Apps, you will support UI that transforms large streaming data into visual metrics for Autonomous Vehicles. Your role includes designing, building, and maintaining data visualization platforms, monitoring and resolving production issues, and collaborating with global teams to meet system requirements.

The intern will conduct research on machine learning for prediction and planning, work with large datasets, collaborate with teams to implement research into autonomous vehicles, and publish findings in papers and patents.

As a Senior Software Engineer for the basemap team, you will tackle complex large-scale mapping challenges, develop scalable software using Python and C++, and collaborate with cross-functional teams. You will also mentor junior engineers and work with diverse data sources including vehicle sensors.

Assist in research and development of machine learning strategies for autonomous vehicles. Collaborate across teams on engineering projects while executing tasks and exploring innovative ideas. Ideal for candidates pursuing a Masters or PhD in relevant fields.

As a Senior Backend Software Engineer, you'll develop scalable backend services for high-definition maps, optimize applications, collaborate with machine learning teams, and mentor junior engineers. You will manage large datasets and enhance map solutions while driving innovation within cross-functional teams.

The Software Engineer Intern will develop and implement motion planning algorithms for autonomous vehicles, focusing on safe and efficient driving in complex environments. Responsibilities include prototyping, testing, optimizing trajectories, analyzing driving behavior, and collaborating across teams.

The Principal Machine Learning Engineer will lead R&D initiatives to enhance autonomous vehicle capabilities, mentor junior engineers, and work on advanced ML and DL algorithms relevant to autonomous driving. Responsibilities include problem formulation, solution architecture, and deployment on vehicle fleets.

As a Senior HR Business Partner, you will develop and implement HR strategies aligned with business objectives, oversee employee relations, manage talent initiatives, and support workforce planning at Motional. The role emphasizes coaching leaders and executing HR programs within a hybrid work model at the Las Vegas office.

The Principal Embedded Software Engineer will lead the design and development of infrastructure software for self-driving vehicles, mentor other engineers, and collaborate with teams to define solutions and long-term architecture for autonomous vehicle systems.

The Principal Embedded Software Engineer will design and develop infrastructure software for embedded platforms in autonomous vehicles. Responsibilities include creating firmware components, optimizing ML models, mentoring engineers, and collaborating with cross-functional teams. The role focuses on enhancing software quality for safety-critical applications.

The Senior Accountant role involves preparing month-end journal entries, supporting financial reporting, managing fixed assets, and processing accounts receivable and payable. The candidate will assist in external audits, monitor expenses, and identify cost-saving opportunities while demonstrating strong financial acumen and problem-solving skills.

You will lead and manage a team of engineers in defining and executing motion planning and prediction projects for self-driving vehicles. Engage in designing behavior models using cutting-edge ML techniques, deploy solutions onto fleets, and collaborate with various teams to enhance on-road performance while communicating progress and challenges to leadership.

The Senior Embedded Software Engineer will design and develop complex safety-critical embedded software for autonomous vehicles, working with embedded systems, protocols, and quality assurance processes. The role involves leadership responsibilities including mentoring junior engineers and ensuring high-quality software performance.

Design and develop safety-critical embedded software for autonomous self-driving applications, ensuring high-quality performance and compliance with automotive safety standards. Responsibilities include mentorship, debugging, and leading software projects from conception through delivery.

The Intern will collaborate with the Motional team to develop and research innovative machine learning strategies for the future of self-driving cars. Responsibilities include executing assigned tasks, meeting deadlines, and contributing new ideas while gaining exposure to multiple engineering disciplines.

Interns will work on machine learning strategies for self-driving cars, collaborating across teams on various projects while ensuring high standards of quality and innovation. Responsibilities include researching and developing innovative solutions, executing tasks, and exploring new ideas.

The Senior Technical Program Manager will coordinate and manage autonomous vehicle demonstration activities, ensuring resource availability and tracking progress while removing obstacles. The role involves working across teams to improve software configurations, communicating with stakeholders, and monitoring risks in a fast-paced environment.

The role involves driving project-level impact for autonomous vehicles by prototyping, evaluating, and implementing solutions. The candidate will work on perception and prediction tasks within a team, collaborate to achieve project goals, and potentially mentor juniors. Principal engineers will define team direction and advise on technology solutions.