Jobs at Motional

Lead data science strategy for autonomous vehicle fleet and simulation data. Build statistical, predictive, and generative models to assess safety and performance across operating conditions, translate telemetry into launch-readiness metrics, support rapid operational investigations, and advise autonomy and systems teams. Mentor and scale a four-person team while communicating analytical findings to engineers and executives.

Build and operate scalable data infrastructure, including fault-tolerant pipelines, data discovery services, and data lineage systems. Develop backend services that process petabytes of data for machine learning and autonomy teams. Lead system design, code reviews, and technical contributions while using AWS cloud ETL technologies and distributed systems. Collaborate with stakeholders to improve platform adoption and address data customer needs.

Build and maintain automated software release and validation infrastructure for autonomous vehicle software. Responsibilities include enforcing release quality gates, managing branching and release governance, supporting cross-functional patch integration, monitoring release metrics, identifying build bottlenecks, and developing automation scripts for reliable, scalable workflows. The role requires Git, Python, CI/CD expertise, and experience with autonomous driving, robotics, or complex software release environments.

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

Develop and maintain simulation, analysis, debugging, visualization, and rerun tools for autonomous driving software. Build high-performance C++ tools and Python backend tooling, enable parameter overrides and local or cloud-based execution, and create GUI or web-based visualizers for step-through behavior analysis. Collaborate with planning and controls engineers, optimize tool performance, and support automated root cause analysis across complex autonomy codebases.

Develop trajectory generation and motion planning algorithms for production autonomous vehicles. Responsibilities include trajectory optimization, performance-critical C++ software development, simulation and testing, code and design reviews, collaboration with planning, prediction, and controls teams, technical roadmap development, and mentoring junior engineers. The role requires expertise in MPC, numerical optimization, vehicle dynamics, control, and autonomous driving systems.

Design and improve autonomous vehicle features, define system behaviors and performance targets, and collaborate across product, autonomy, operations, testing, and safety teams. Develop validation and verification suites using software integration, simulation, HIL, and closed-course testing. Establish performance monitoring, conduct safety analyses, perform root-cause investigations, and recommend corrective actions for issues found during testing or road operations.

Defines and verifies the operating domain for autonomous robotaxi deployments, collaborates with autonomy, mapping, infrastructure, and operations teams, and develops AI-powered tools to assess expansion opportunities. The role includes analyzing system performance, validating map releases against constraints, documenting tools, supporting testing and coverage analysis, and contributing to the safety case for commercial launch. Requires strong Python, SQL, visualization, version control, software development, data analysis, and communication skills.

Supports corporate and product strategy for autonomous vehicle systems and platform expansion. Develops strategic roadmaps, evaluates market and technology opportunities, conducts transportation and regulatory research, analyzes KPIs, collaborates with Engineering and Finance, and prepares executive presentations and shareholder communications. The role is based in Boston and requires regular in-office work.

As a Machine Learning Systems Engineer, you will optimize distributed training systems, enhance performance profiling, and develop high-performance GPUs for machine learning workloads.

Supports the Chief of Staff and executive team by leading high-priority cross-functional strategic projects, coordinating stakeholders, tracking execution, removing roadblocks, and preparing executive communications and briefings. The role synthesizes technical, financial, and operational information, supports strategic prioritization, improves organizational processes, and conducts rapid analysis for emerging opportunities and risks.

Lead research and development of advanced motion-planning algorithms for autonomous vehicles. Architect and integrate planning and prediction systems, build high-performance C++ software, evaluate algorithms for production deployment, collaborate with perception and control teams, and mentor junior engineers. The role emphasizes probabilistic decision-making, technical ownership, rigorous research, and reliable production engineering.

Build and scale ML development infrastructure and Agentic AI tooling. Optimize distributed training (PyTorch/DDP), improve GPU utilization, design multi-cloud Kubernetes environments, and collaborate with ML researchers and engineers to streamline the ML lifecycle.

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 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.

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.

Develop and integrate motion-planning and decision-making algorithms for autonomous driving. Build robust, scalable C++ code and CI/CD pipelines, process and analyze vehicle field data, optimize large data pipelines, lead feature development, and mentor junior engineers.