Jobs at Motional

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.

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.

Lead Test Engineering managers and senior leads across five areas. Set organizational direction, priorities, staffing, and delivery plans; manage performance, talent planning, and cross-functional alignment; represent testing to executives; guide quality risk, release readiness, and technical reviews. Ensure teams deliver safe, high-quality results against company objectives while maintaining an effective operating rhythm and resolving organizational blockers.

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.

Diagnose complex issues in autonomous vehicle Planning and Controls software using logs and simulation replays. Develop, test, and deploy production fixes, create tooling and automation for log analysis, and collaborate cross-functionally to connect on-road issues with software development. The role requires strong C++ development, experience with large codebases, production releases, CI/CD, and scalable version control.

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.

Leads Motional’s product organization and unified product vision for its autonomous robotaxi service. Oversees product strategy across rider experience, autonomy tools, data pipelines, vehicle hardware, backend software, operations, and commercial partnerships. Establishes prioritization frameworks, tracks safety and performance KPIs, aligns cross-functional roadmaps, and guides commercial launch and global scaling. Builds and manages a high-performing product management team while translating technical capabilities into safer, more effective, and commercially viable releases.

Develop and maintain high-performance simulation, analysis, debugging, visualization, and automated root-cause-analysis tools for autonomous driving systems. Build C++ and Python tooling, local or cloud-based rerun systems, GUI debuggers, and 2D/3D visualizers. Collaborate with planning and controls engineers, optimize tools for high-throughput data, and support autonomy stack development and testing.

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.

Design and build scalable data infrastructure, backend services, data discovery and lineage systems, and fault-tolerant pipelines processing petabytes of data. Lead system design, code reviews, and technical contributions while developing cloud-based ETL solutions. Collaborate with machine learning and autonomy teams to improve data access, processing, and platform adoption.

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.