Jobs at Motional

The Mission Control Manager oversees real-time operations of autonomous vehicle fleets, ensuring safety and coordination during incidents and liaising with public safety agencies.

The Senior Administrative Assistant provides comprehensive administrative support to the CSO and CFO, including managing schedules, travel arrangements, expense reports, and facilitating communication between executives and stakeholders. They also assist in workplace experience tasks and maintain organized office operations.

Lead architecture and implementation of low-latency, reliable vehicle-to-cloud data pipelines and in-vehicle software. Own system requirements, mentor engineers, run code reviews, and collaborate across product, cloud, test, and operations to deploy telemetry, remote control, and passenger-facing features.

Lead the development of advanced perception algorithms for autonomous vehicles, optimize real-time performance, mentor junior engineers, and integrate systems.

Lead and grow an AI Data Application team to design and build web platforms and services for metadata storage, dataset formation, and data search. Define technical vision, drive AI adoption in frontend/UX, implement query federation across databases and APIs, collaborate with ML researchers, and manage hiring, mentorship, and roadmap execution to accelerate ML dataset generation and model development.

Lead and grow an AI Data Application team to build web services and platforms for metadata storage, dataset generation, and data search. Define technical vision, drive AI adoption in frontend UX, design APIs and query federation, collaborate with ML researchers and data teams, and mentor engineers to accelerate ML pipeline development.

Lead and grow an AI Data Application team to build web platforms and services for metadata storage, dataset generation, and data search. Define technical vision, integrate with ML teams, guide AI adoption in frontend, and deliver APIs and query federation solutions to accelerate ML development.

Lead development of rigorous evaluation frameworks and statistical methods to measure and validate autonomous vehicle system performance. Monitor metric reliability, detect drift, identify edge cases, correlate simulation and on-road results, and feed scenarios into simulation catalogs. Partner with safety, systems, and engineering teams to inform launch decisions, build self-service tooling for developers, and mentor peers. Introduce scalable ML methods where appropriate to improve evaluation rigor and coverage.

Build and scale ML development infrastructure and Agentic AI tooling. Optimize distributed training (PyTorch/DDP), improve GPU utilization, design multi-cloud Kubernetes environments, and collaborate with ML researchers and engineers to streamline the ML lifecycle.

The Staff Motion Planning Engineer will research and develop algorithms for motion planning in autonomous vehicles, building scalable software and interfacing with various components of the system.

The Staff Motion Planning Engineer will lead the research and development of algorithms for motion planning in autonomous vehicles, ensuring robust software integration and mentoring team members.

Develop and optimize machine learning models for autonomous vehicles, focusing on ML model deployment and performance across various compute platforms.

The intern will conduct research on driving behavior, collaborate across teams, utilize large datasets, and publish results related to Machine Learning.

Lead technical roadmap and architecture for ML data infrastructure supporting petabyte-scale pipelines. Manage and mentor engineering team, design ingestion/transformation/serving systems, ensure data quality, lineage, governance, and collaborate with ML and infrastructure teams to deliver production-grade ML data pipelines and feature stores.

Lead development of large-scale data analysis and validation workflows for autonomous driving ML. Design metrics, build datasets, run statistical error and regression analyses, collaborate with ML and software teams, and maintain AWS/Kubernetes orchestration for large-scale evaluation.

Lead and build an ML Acceleration team to define strategy and implement scalable solutions to speed ML training. Hands-on role combining technical design (distributed training, hardware and model optimization) with people management, cross-functional collaboration, impact measurement, and continuous performance improvements for production autonomous vehicle ML systems.

Lead development of motion planning and prediction ML models for Level 4 autonomous vehicles. Design and productionize behavior models using deep learning, generative AI, and reinforcement learning. Deploy solutions to vehicle fleets, collaborate with perception, simulation, data platform and integration teams, and report progress to leadership.

The Director of Commercial Operations oversees fleet performance and operational efficiency, leading multi-market operations, incident management, and innovative technology implementation, while ensuring compliance and stakeholder engagement.

This role leads the ML Acceleration team, focusing on enhancing ML model training efficiency and team management, while driving technical strategy and collaboration.

Lead and manage a new ML Acceleration team, driving strategy and development for faster ML model training and optimizing performance.