Jobs at Motional

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.

Owns technical development and production readiness of automotive HMI and cabin monitoring components. Responsibilities include managing requirements, collaborating with suppliers and cross-functional engineering teams, validating components through bench and vehicle testing, ensuring performance, safety, reliability, and regulatory compliance, and resolving technical issues. The role requires expertise in automotive communication protocols, Linux-based testing, diagnostic tools, synchronization protocols, high-performance compute platforms, environmental testing, and functional safety.

Build and evolve internal developer platforms, backend services, CI/CD pipelines, build systems, toolchains, and productivity tooling. Partner with engineering teams to identify workflow bottlenecks, improve reliability and observability, monitor distributed systems, resolve issues, and contribute to architecture and technical roadmaps. The role requires software engineering experience, programming expertise in Python, Go, or C++, Unix knowledge, and experience with cloud infrastructure and infrastructure-as-code.

Leads and modernizes enterprise identity and access management across cloud, edge, vehicle-to-cloud, and partner ecosystems. Oversees Okta, IGA, federation, SCIM provisioning, OAuth governance, JML automation, RBAC/ABAC, compliance, SLAs, and IAM metrics. Develops secure identity frameworks for human, machine, and AI-agent identities while managing an IAM engineering team and collaborating with HR, Engineering, and End-User Services.

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.

Drive cross-functional software and hardware release planning and execution across autonomy integration, engineering, operations, and testing teams. Track release metrics, manage configurations, maintain release calendars and documentation, coordinate priorities and dependencies, remove blockers, and report risks. Partner with engineering leadership on organizational objectives, retrospectives, and continuous process improvement.

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.

Senior Counsel will provide corporate, commercial, privacy, compliance, claims, litigation, and employment-law support. Responsibilities include negotiating agreements, advising on CCPA/CPRA and data protection, managing governance templates, handling vehicle incident claims and employment disputes, and partnering with Operations, Commercial, HR, and Engineering. The role requires onsite work in Las Vegas five days weekly and approximately 10% travel.

Owns design release, engineering integration, and OEM orchestration for automotive HMI and UX hardware. Translates UX concepts into technical requirements, manages engineering documentation, BOMs, validation plans, ECNs, supplier relationships, and vehicle integration. Leads DVP&R, design readiness reviews, risk mitigation, and technical program communication while coordinating component maturity through DV, PV, and PPAP milestones.

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.

Leads architecture, development, and execution of backend API, service, data pipeline, and frontend automation for an autonomous vehicle fleet operations platform. Establishes CI/CD quality gates, validates integrations, analyzes failures, collaborates cross-functionally, and mentors an automation engineer. Supports evolving platform requirements, after-hours releases, and occasional domestic on-site testing or deployments.