Jobs at Motional

Lead and manage the AI Data Engine team, focusing on ML dataset generation and acceleration of data pipelines while collaborating with cross-functional teams.

Lead training, evaluation, and deployment of ML models for scene understanding and behavior prediction in autonomous vehicles.

You will train, evaluate, and deploy ML models for scene understanding and behavior prediction in autonomous vehicles, while collaborating with engineers.

Lead commercialization of autonomous vehicle services from pilot to scaled fleet over a 1–3 year horizon. Drive GTM execution, build commercial models, harvest deployment insights, translate requirements to Product and Engineering, coordinate cross-functional launches, and create repeatable playbooks to improve unit economics and user experience.

Design and build large-scale mining solutions to find challenging driving scenarios, improve learned model performance, and support continuous learning. Collaborate with ML infrastructure to enable iterative mining, error analysis, training and deployment. Research uncertainty and informativeness metrics, run deep learning experiments, provide statistical insight on model uncertainty and robustness, write technical reports, and mentor junior researchers.

Design, implement, and test onboard and offboard localization software pipelines for autonomous vehicles. Develop sensor processing, fusion, and SLAM for deployment, perform code reviews, mentor junior engineers, and coordinate APIs with mapping and cross-functional teams (perception, planning, controls).

Develop and integrate motion-planning and decision-making algorithms for autonomous driving. Build robust, scalable C++ code and CI/CD pipelines, process and analyze vehicle field data, optimize large data pipelines, lead feature development, and mentor junior engineers.

The Senior Technical Program Manager will oversee software performance evaluations, manage resources, and coordinate between engineering teams to ensure quality metrics are met while addressing risks and issues.

Lead the development of the ML Data Service platform, manage engineers, drive technical strategy, and ensure high-quality data for ML use cases.

Lead multiple machine learning teams focusing on prediction and planning for autonomous vehicles, setting technical direction, and fostering organizational growth through innovative AI solutions.

As a Machine Learning Systems Engineer, you will optimize distributed training systems, enhance performance profiling, and develop high-performance GPUs for machine learning workloads.

Lead the research and development of algorithms for motion planning in autonomous driving, integrating predictive systems and mentoring team members.

Lead large, cross-functional technical programs for autonomy, owning model development and release cycles. Act as DRI for behavioral capabilities, integrate Prediction and ML Planning, dig into ML/behavior issues, identify and mitigate technical risks, and align roadmaps with engineering, product, and executive stakeholders to deliver driverless milestones.

The Senior Software Engineer will diagnose and resolve software issues in autonomous systems, develop solutions, and improve team workflows through tooling and automation.

The role involves developing perception components for self-driving vehicles, analyzing system performance, and collaborating with cross-functional teams to enhance technology.

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.

The Talent Acquisition Sourcer identifies and attracts technical talent for Motional's Autonomy Department, focusing on building relationships and providing a top-tier candidate experience.

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.

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

Design and develop web applications for ML dataset generation and data search. Mentor junior engineers and collaborate with cross-functional teams.