Teams at Motional

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.

Build and evolve internal developer platforms, backend services, CI/CD pipelines, build systems, toolchains, and productivity tooling. Partner with engineering teams to identify workflow bottlenecks, improve reliability and observability, monitor distributed systems, resolve issues, and contribute to architecture and technical roadmaps. The role requires software engineering experience, programming expertise in Python, Go, or C++, Unix knowledge, and experience with cloud infrastructure and infrastructure-as-code.