Jobs at Motional

The Senior Software Engineer will own the CDE platform, architect AI agents for ML workflows, and collaborate with ML Engineers to enhance productivity.

The role involves leading the ML Acceleration team, driving strategies for optimizing ML model training, recruiting and mentoring engineers, and collaborating across teams.

The Senior Software Engineer will enhance developer productivity by building and refining internal services, improve system performance and reliability, and manage complex infrastructure platforms.

Manage full-cycle recruiting for engineering, software, and ML/AI roles: partner with hiring leaders, source passive candidates, run intake/kickoffs/interview debriefs, manage scheduling, travel and visa logistics, use Greenhouse and structured scorecards, provide market and compensation insights, and support onboarding. Hybrid role based in Singapore with global collaboration across time zones.

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.

Support daily accounting operations including bookkeeping, general ledger entries, month-end closes, reconciliations, and financial reporting. Liaise with auditors, tax agents, bankers, and internal US Finance team. Prepare accruals, reclassifications, and supporting schedules; maintain compliance with FRS and local statutory requirements. Assist with corporate tax and secretarial tasks (DocuSign) and handle ad hoc accounting projects for a fast-growing technology business on a one-year contract.

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.