Jobs at Motional

Lead driverless readiness evaluations by overseeing system testing, validating test results, identifying and prioritizing operational risks, and collaborating with safety and engineering teams on mitigations. Analyze large datasets, maintain evaluation tooling, communicate findings to leadership, and support autonomy roadmaps for existing and expanded operational design domains. The role requires cross-functional collaboration in an agile CI/CD environment and includes travel to testing sites up to 20% of the time.

Develop software, pipelines, AI-powered tools, and performance metrics for autonomous vehicle systems. Analyze large datasets, evaluate autonomy-stack performance, ensure data quality, and deliver actionable insights. Define technical roadmaps, collaborate across perception, prediction, planning, controls, simulation, and validation teams, and provide technical leadership, documentation, mentoring, and architectural guidance.

Develop and deploy computer vision and machine learning solutions for autonomous vehicle perception, including object and signal recognition. Build production software in Python and C++, integrate models with vehicle systems, process camera and LiDAR data, and create testing and evaluation tools. Train, optimize, and analyze AI models, debug algorithms, improve inference performance, and research emerging technologies for safer autonomous driving systems.

Develop and own customer-facing and internal visualization solutions for autonomous vehicles. Responsibilities include architecting and implementing visualization systems, collaborating with autonomy, perception, and mapping teams, improving automated UI testing, and driving performance, scalability, and maintainability. The role also involves designing experiences for complex data-heavy workflows, shipping iteratively, working directly with customers, and mentoring engineers.

Own executive reporting and data strategy for autonomous vehicle system performance. Lead the weekly Software Performance Review, develop board-level reporting, analyze robotics and autonomy metrics, translate technical findings into strategic recommendations, and establish data visualization standards. Partner cross-functionally across engineering and performance teams, create data-driven feedback loops, and mentor Business Analytics and Business Intelligence engineers.

Coordinate high-priority, cross-functional strategic initiatives for the Chief of Staff and CEO. Track milestones, dependencies, risks, and roadblocks; manage executive meetings and communications; synthesize technical, financial, and operational information; prepare executive briefings and shareholder materials; support prioritization and calendar management; and improve Office of the CEO processes and reporting.

Design, implement, and validate safety-critical motion-planning and collision-avoidance algorithms for autonomous vehicles. Develop trajectory generation, evasive maneuver, safety override, simulation, testing, and performance-metric systems. Analyze fleet, simulation, closed-course, and public-road data; conduct root-cause investigations; collaborate across autonomy teams; and support periodic in-person vehicle testing.

Design and maintain onboard vehicle network architectures for autonomous vehicles. Define network topologies, protocols, hardware interfaces, QoS policies, segmentation, diagnostics, telemetry, and failover strategies. Develop software for monitoring, routing, fault detection, performance analysis, and OTA updates. Diagnose complex communication and hardware issues while collaborating with hardware, embedded Linux, platform, autonomy, and systems teams. Contribute to next-generation networking roadmaps and platform architecture.

Leads the organization responsible for Motional’s onboard software foundation, including embedded firmware, operating systems, runtimes, middleware, drivers, diagnostics, and safety software. Owns the stack roadmap, prioritization, production health, next-generation platform development, quality standards, and cross-functional alignment. Manages engineering managers and technical leaders, oversees hiring and development, and ensures reliable software operation across autonomous vehicle computing platforms.

Leads rigorous evaluation methodologies for autonomous vehicle performance using statistical analysis, machine learning, simulation, and on-road data. Develops metrics, detects drift and anomalies, identifies edge cases, correlates simulation with fleet data, and strengthens launch-readiness and safety decisions. Partners with engineering, safety, and operations teams, communicates findings to leadership, establishes developer self-service tools, and mentors colleagues.

Finds, develops, and produces stories highlighting company innovation, teamwork, and technical achievements. Responsibilities include interviewing subject matter experts, translating complex AI concepts, writing blogs and social content, creating storyboards, capturing photography and video, and editing short-form assets. The role adapts content for internal and external audiences and requires a portfolio demonstrating writing, scripting, photography, videography, and social media work.

Lead architecture and development of advanced perception systems for Level 4 autonomous vehicles. Build multimodal foundation models, synthetic data and sensor simulation capabilities, knowledge-distillation pipelines, and efficient real-time onboard models. Deploy solutions to autonomous vehicle fleets while mentoring engineers and providing technical leadership. The role focuses on object detection, segmentation, tracking, classification, sensor fusion, closed-loop evaluation, and robust generalization across vehicle generations.

Designs system architectures, requirements, interfaces, and performance metrics for robotaxi systems spanning autonomy, remote operations, fleet orchestration, mapping, and customer-facing software. Evaluates system performance through data pipelines, simulation, verification, and validation campaigns; collaborates across engineering and operations teams; documents complex workflows; and supports safety-focused autonomous vehicle deployment.

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.

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

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.

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.