Jobs at Motional

Build and optimize high-performance systems for large-scale ML training: profile and remove bottlenecks, optimize distributed training, develop GPU kernels (Triton/CUDA), and engineer high-throughput data pipelines to reduce time-to-convergence and improve reliability and cost-efficiency.

Lead improvements to decision-making, motion planning, and controls software quality for driverless vehicles. Implement validation, diagnostics, static analysis, compiler optimizations, and eliminate runtime allocations. Develop and deploy agentic AI tools to enforce design and validation principles, collaborate across subsystems, and present results to reduce failures before commercial launch.

The Principal Motion Planning Engineer will lead algorithm development for motion planning in autonomous vehicles, manage projects, and mentor team members.

Lead large, cross-functional technical programs for autonomy, owning model development and release cycles. Act as DRI for behavioral capabilities, integrate Prediction and ML Planning, dig into ML/behavior issues, identify and mitigate technical risks, and align roadmaps with engineering, product, and executive stakeholders to deliver driverless milestones.

Technical leader owning motion planning and trajectory optimization for production autonomous vehicles. Architect scalable C++ systems, integrate optimal-control solvers, define testing/simulation/CI tooling, lead cross-functional design, and mentor engineers to deliver safe, real-time on-vehicle implementations.

The role involves developing perception components for self-driving vehicles, analyzing system performance, and collaborating with cross-functional teams to enhance technology.

Lead a team building large-scale ML model evaluation and orchestration frameworks for autonomous vehicles. Own data analysis workflows, dataset creation, statistical model evaluation, regression reporting, and tool development (AWS Kubernetes orchestration, ReSimulation). Provide technical leadership, mentorship, and manage project timelines and deliverables.

Design, develop, and deploy perception and AI features for autonomous vehicles. Train and evaluate models, optimize inference and GPU performance, integrate and validate robotics systems, prototype solutions, and maintain production code and CI/CD workflows.

Lead and grow an AI Data Application team to build web services and platforms for metadata storage, dataset generation, and data search. Define technical vision, drive AI adoption in frontend UX, design APIs and query federation, collaborate with ML researchers and data teams, and mentor engineers to accelerate ML pipeline development.

The Staff Motion Planning Engineer will research and develop algorithms for motion planning in autonomous vehicles, building scalable software and interfacing with various components of the system.

Develop and optimize machine learning models for autonomous vehicles, focusing on ML model deployment and performance across various compute platforms.

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 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 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 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.

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

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.