Teams at Motional

Leads rigorous evaluation methodologies for autonomous vehicle performance using statistical analysis, machine learning, simulation, and on-road data. Develops metrics, detects drift and anomalies, identifies edge cases, correlates simulation with fleet data, and strengthens launch-readiness and safety decisions. Partners with engineering, safety, and operations teams, communicates findings to leadership, establishes developer self-service tools, and mentors colleagues.

Finds, develops, and produces stories highlighting company innovation, teamwork, and technical achievements. Responsibilities include interviewing subject matter experts, translating complex AI concepts, writing blogs and social content, creating storyboards, capturing photography and video, and editing short-form assets. The role adapts content for internal and external audiences and requires a portfolio demonstrating writing, scripting, photography, videography, and social media work.

Lead architecture and development of advanced perception systems for Level 4 autonomous vehicles. Build multimodal foundation models, synthetic data and sensor simulation capabilities, knowledge-distillation pipelines, and efficient real-time onboard models. Deploy solutions to autonomous vehicle fleets while mentoring engineers and providing technical leadership. The role focuses on object detection, segmentation, tracking, classification, sensor fusion, closed-loop evaluation, and robust generalization across vehicle generations.