Jobs at Motional

Lead design and implementation of motion control and trajectory optimization algorithms for production autonomous vehicles. Build robust C++ software, evaluate control techniques, integrate with prediction and behavior teams, use simulation and CI, mentor junior engineers, and apply numerical optimization and solvers to ensure safe, comfortable vehicle motion.

Develop and maintain long-range financial models, support strategic decision-making and scenario planning, partner with operations and cross-functional teams to forecast revenue and expenses, perform unit economic and competitive analysis, and prepare presentations for leadership.

Lead end-to-end design release and configuration for developmental vehicle platforms and HIL benches. Define hardware architecture and requirements, manage BOMs, procurement, ECNs, documentation, validation, and cross-functional integration. Drive build-readiness, risk mitigation, and handoff to test operations while providing program status to technical leadership.

Lead and manage the AI Data Engine team, focusing on ML dataset generation and acceleration of data pipelines while collaborating with cross-functional teams.

Lead the CORE organization in developing computational infrastructure and software solutions for self-driving systems, focusing on strategy, team management, and architectural oversight of on-vehicle systems.

Motional seeks a Senior Director of Engineering to lead the development of computational infrastructure for self-driving technology, managing teams and overseeing systems architecture for autonomous vehicles.

Lead and manage the AI Data Engine team, driving strategies for ML dataset generation and improving data warehouse efficiency. Mentor engineers and collaborate across teams.

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.

Lead training, evaluation, and deployment of ML models for scene understanding and behavior prediction in autonomous vehicles.

You will train, evaluate, and deploy ML models for scene understanding and behavior prediction in autonomous vehicles, while collaborating with engineers.

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.

Lead design and build of internal web visualization tooling for ML and AV teams. Architect scalable React/TypeScript/Vue frontends, collaborate cross-functionally, drive performance and UX best practices, mentor engineers, and deliver mission-critical data-heavy UI systems.

Improve performance, reliability, and observability of onboard embedded Linux compute platforms. Build low-overhead telemetry, tracing, profiling, and analysis tools; diagnose resource contention, crashes, and latency; define benchmarks and regression tests; partner with autonomy, platform, and hardware teams to translate findings into durable performance improvements.

Lead sourcing strategy and supplier management for radar and camera hardware across product development and production. Negotiate contracts, track BOM costs, ensure APQP/PPAP and supplier quality compliance, coordinate cross-functionally with engineering, program management, and Hyundai counterparts, and drive cost reduction and supplier performance improvements.

Lead technical strategy and architecture for an AI Data Engine to accelerate ML dataset generation and data warehouse operations. Hands-on staff engineer mentoring engineers, designing scalable storage, vector retrieval, LLM/agentic workflows, and collaborating with ML research and platform teams to deliver petabyte-scale data solutions.

Design and implement C++ software enabling remote human operator control and low-latency sensor/semantic data streaming for autonomous vehicles. Build integration and simulation test suites, apply test-driven development, support on-road testing, collaborate with cross-functional teams, and develop RVA agent training tools and scenarios.

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.

Lead commercialization of autonomous vehicle services from pilot to scaled fleet over a 1–3 year horizon. Drive GTM execution, build commercial models, harvest deployment insights, translate requirements to Product and Engineering, coordinate cross-functional launches, and create repeatable playbooks to improve unit economics and user experience.

Design and build large-scale mining solutions to find challenging driving scenarios, improve learned model performance, and support continuous learning. Collaborate with ML infrastructure to enable iterative mining, error analysis, training and deployment. Research uncertainty and informativeness metrics, run deep learning experiments, provide statistical insight on model uncertainty and robustness, write technical reports, and mentor junior researchers.