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.

Own the strategy, development, and delivery of Motional’s fleet operations software ecosystem and Command Center application. Define requirements, prioritize backlogs, track KPIs, and collaborate with cloud, embedded, mobile, hardware, AI/ML, and QA teams. Lead complex technical products from concept through launch and iteration, supporting vehicle deployment, fleet management, field operations, maintenance, and customer assistance.

Leads the development and governance of quantitative safety metrics and benchmarking frameworks for Level 4 autonomous vehicles. Applies statistical inference, Bayesian methods, counterfactual modeling, rare-event analysis, risk quantification, and collision-severity modeling across road testing, simulation, and external datasets. Partners with engineering, data science, operations, policy, and executive teams to evaluate software releases, establish safety targets, and support driverless commercial-launch readiness.

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.

Leads a data annotation team supporting autonomous vehicle perception and machine learning models. Oversees daily operations, productivity, quality, SLAs, workflow efficiency, hiring, onboarding, performance management, coaching, and employee development. Uses data-driven problem solving and automation to remove bottlenecks. May manage external vendors, annotation metrics, and projects across time zones.

Design and build internal developer platforms, backend services, CI/CD pipelines, and toolchains to improve developer productivity. Partner with engineering teams to identify bottlenecks, enhance reliability, scalability, observability, and contribute to system architecture and roadmaps.

Develop software frameworks for on-vehicle communications, execution, diagnostics, monitoring, and autonomous vehicle fleet operations. Build communication libraries, network metrics systems, data-flow visualization tools, and runtime AV health monitoring. Ensure autonomous functionality is performant, reliable, repeatable, and testable while implementing infrastructure that supports high-performance autonomy components at fleet scale.

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.

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.

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.

Designs and executes autonomous vehicle test campaigns across simulation, hardware-in-the-loop, closed-course, and public-road environments. Develops test plans, automation scripts, synthetic and log-replay scenarios, and performs data analysis, fault injection, hardware debugging, and systems integration testing. Collaborates with engineering and safety teams to investigate root causes and validate perception, planning, control, and safety-critical features against industry standards.

Owns executive reporting for autonomous vehicle system performance, including the weekly Software Performance Review and broader commercial readiness analyses. Synthesizes robotics data, diagnostic evaluations, and performance metrics into strategic narratives for senior leadership. The role aligns cross-functional engineering data, automates reporting pipelines and presentation generation, establishes visualization standards, and mentors junior engineers. It requires deep knowledge of robotics, autonomous vehicle performance, data architectures, executive communication, and AI-assisted development workflows.

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.

Drive infrastructure technical programs across software, cloud, autonomy, embedded, hardware, operations, and testing teams. Responsibilities include roadmap alignment, cross-functional project execution, staffing, risk mitigation, process improvement, status reporting, leadership communication, and resolving technical and organizational blockers. The role requires architectural understanding of infrastructure systems and experience with developer platforms, cloud applications, CI/CD, testing infrastructure, or software releases.

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.

Develop and maintain Hardware-in-the-Loop infrastructure for autonomous vehicle testing. Automate bench health, software release compatibility, testing workflows, and infrastructure reliability. Investigate failures and operational blockers, mine data for process improvements, support bench maintenance, and collaborate with autonomy, infrastructure, and operations teams. The role involves Python, C++, Linux, CI/CD, databases, vehicle CAN, hardware, electrical systems, and simulation environments.

Design and maintain onboard vehicle network architectures for autonomous vehicles. Develop communication protocols, routing, diagnostics, telemetry, monitoring, QoS, network isolation, and failover tools. Define performance requirements and hardware interfaces while troubleshooting latency, packet loss, and controller issues. Collaborate with hardware, embedded Linux, platform, autonomy, and systems teams on network hardware selection, OTA updates, security, testing, and next-generation vehicle infrastructure.

Design and maintain onboard vehicle network architectures for autonomous vehicles. Responsibilities include defining topology, protocols, hardware interfaces, QoS, segmentation, telemetry, diagnostics, failover, and OTA update strategies. The role develops production networking software and tools, resolves system-level communication issues, evaluates automotive network hardware, and collaborates with hardware, embedded Linux, platform, and autonomy teams on current and next-generation vehicle platforms.

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.