Jobs at Motional

Design, build, and maintain a web-based semantic map annotation editor and 3D visualizations that handle terabyte-scale map data. Optimize performance, automate map generation, integrate with ML teams, write design docs, resolve issues, and improve user workflows for efficient map editing and validation.

Drive infrastructure technical programs across software, cloud, autonomy, embedded, hardware, operations, and testing teams. Responsibilities include roadmap alignment, cross-functional project execution, staffing, risk mitigation, process improvement, status reporting, leadership communication, and resolving technical and organizational blockers. The role requires architectural understanding of infrastructure systems and experience with developer platforms, cloud applications, CI/CD, testing infrastructure, or software releases.

Develop and maintain high-performance simulation, analysis, debugging, visualization, and automated root-cause-analysis tools for autonomous driving systems. Build C++ and Python tooling, local or cloud-based rerun systems, GUI debuggers, and 2D/3D visualizers. Collaborate with planning and controls engineers, optimize tools for high-throughput data, and support autonomy stack development and testing.

Design and build scalable data infrastructure, backend services, data discovery and lineage systems, and fault-tolerant pipelines processing petabytes of data. Lead system design, code reviews, and technical contributions while developing cloud-based ETL solutions. Collaborate with machine learning and autonomy teams to improve data access, processing, and platform adoption.

Motional seeks a Senior Cybersecurity Engineer for Defense Operations to enhance security, conduct incident response, and optimize cybersecurity practices across teams.

Design, implement, and optimize perception algorithms (detection, tracking, segmentation) using camera, lidar, and radar. Build sensor fusion, productionize models for embedded real-time systems, deploy to vehicle fleets, analyze large datasets, collaborate cross-functionally, and mentor junior engineers.

Design and implement production-ready motion planning algorithms and scalable software for autonomous vehicles. Lead system-level architecture, define multi-quarter technical roadmaps, mentor engineers, coordinate across prediction/behavior/tracking teams, and drive on-road reliability, testing, and CI-driven development.

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