Jobs at Motional

Provides desktop and end-user IT support across multiple operating systems and sites. Troubleshoots hardware, software, networking, security, AV, and conferencing issues; manages workstation imaging, hardware configuration, inventory, documentation, and incident requests. Supports process improvement, IT projects, endpoint security, and service uptime while delivering customer service to employees and executives.

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.

Design, build, and deploy core ML infrastructure components on Kubernetes. Develop scalable services for data ingestion, processing, training, and evaluation. Write maintainable code for high-throughput, petabyte-scale systems. Own features end-to-end from design through production and operation to accelerate autonomous vehicle model development.

Build and maintain internal developer platforms, CI/CD pipelines, build systems, and backend services to improve reliability, scalability, performance, and observability. Partner with engineering teams to optimize cloud costs, contribute to architecture and roadmaps, monitor system health, and resolve issues to enable faster, higher-quality shipping to production.

The ML Systems Engineer will optimize distributed training systems, develop high-performance GPU kernels, and ensure efficient data pipelines for machine learning models.

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.

Design and build internal developer platforms, backend services, CI/CD pipelines, and toolchains to improve developer productivity. Partner with engineering teams to identify bottlenecks, enhance reliability, scalability, observability, and contribute to system architecture and roadmaps.

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.

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