Jobs at Motional

Lead technical roadmap and architecture for ML data infrastructure supporting petabyte-scale pipelines. Manage and mentor engineering team, design ingestion/transformation/serving systems, ensure data quality, lineage, governance, and collaborate with ML and infrastructure teams to deliver production-grade ML data pipelines and feature stores.

The Director of Commercial Operations oversees fleet performance and operational efficiency, leading multi-market operations, incident management, and innovative technology implementation, while ensuring compliance and stakeholder engagement.

Lead development of large-scale data analysis and validation workflows for autonomous driving ML. Design metrics, build datasets, run statistical error and regression analyses, collaborate with ML and software teams, and maintain AWS/Kubernetes orchestration for large-scale evaluation.

This role leads the ML Acceleration team, focusing on enhancing ML model training efficiency and team management, while driving technical strategy and collaboration.

Lead and manage a new ML Acceleration team, driving strategy and development for faster ML model training and optimizing performance.

Lead and build an ML Acceleration team to define strategy and implement scalable solutions to speed ML training. Hands-on role combining technical design (distributed training, hardware and model optimization) with people management, cross-functional collaboration, impact measurement, and continuous performance improvements for production autonomous vehicle ML systems.

Lead development of motion planning and prediction ML models for Level 4 autonomous vehicles. Design and productionize behavior models using deep learning, generative AI, and reinforcement learning. Deploy solutions to vehicle fleets, collaborate with perception, simulation, data platform and integration teams, and report progress to leadership.

Lead development of rigorous evaluation frameworks and statistical methods to measure and validate autonomous system performance. Monitor metric reliability, detect drift, identify edge cases, correlate on-road and simulation data, and collaborate with engineering to improve test coverage and launch readiness. Mentor peers, introduce ML for evaluation, and deliver actionable insights to technical leaders.

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 development of rigorous evaluation frameworks and metrics for autonomous systems, analyze large on-road and simulation datasets, detect metric drift, prototype statistical and ML methods, correlate simulation and real-world results, and drive actionable improvements to testing, sampling, and launch-readiness decisions while mentoring teammates and advising stakeholders.

Lead development of rigorous evaluation frameworks and metrics for autonomous systems, analyze simulation and on-road data, detect metric drift, identify edge cases, and feed scenarios into simulation. Partner with engineering, safety, and operations to inform launch decisions, prototype statistical and ML methods, and communicate results to stakeholders and leadership.

Provide hands-on fleet operations support for an autonomous vehicle fleet: pre/post-trip inspections, AV startup/shutdown, safety and platform checks, vehicle recovery and charging, shuttle and repositioning, basic in-vehicle debugging, incident reporting, and coordination with engineering and fleet teams. Must follow SOPs, traffic laws, and work flexible schedules.

Lead vehicle-level integration, validation, and root cause analysis across electrical, network, software, and hardware domains. Configure and validate ECUs, sensors, actuators, and vehicle networks (CAN, CAN FD, Automotive Ethernet). Develop and execute integration and validation test plans, analyze logs and network traces, support vehicle bring-up and production phases, and mentor junior engineers to improve product quality and development efficiency.

Operate and test autonomous vehicles safely on closed courses and public roads; run in-vehicle data recording, document and report test results, troubleshoot issues, and support mapping and data-collection efforts. Train and coach new operators, maintain SOPs and testing documentation, use JIRA/Confluence for tracking, and communicate findings to engineering teams while upholding safety and operational procedures.

The candidate will define and execute motion planning projects, develop behavior models using ML techniques, and collaborate with teams to enhance autonomous vehicle performance.

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

Lead end-to-end hardware integration between Motional's autonomous driving system and OEM base vehicles. Own ICDs, manage mechanical/electrical/network compatibility, coordinate cross-functional OEM/internal teams, track master integration schedule, oversee engineering documentation and change management, drive platform testing/certification, run technical program reviews, and report integration maturity, risks, and milestones to leadership.

Lead and coordinate high-priority cross-functional strategic projects for engineering leadership. Serve as CoS liaison, manage meetings and communications, synthesize technical and financial information, prepare executive briefings, prioritize the CoS calendar, improve processes, and perform ad-hoc analysis to inform strategy and shareholder communications.

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.

Design and implement production-ready trajectory optimization and motion-control algorithms. Build robust, scalable C++ software, leverage simulation, testing and CI, evaluate control techniques, collaborate with prediction/behavior teams, propose long-term technical roadmaps, and mentor junior engineers to deliver safe, comfortable autonomous vehicle behaviors.