Autonomous Vehicle Test Engineer

Join Motional, a leader in autonomous vehicle technology, as an Autonomous Vehicle Test Engineer. In this role, you will be responsible for testing and validating innovative solutions that enhance the safety and reliability of our self-driving systems. Collaborate with a passionate team of engineers to develop, execute, and analyze test plans that ensure our…

Motional’s Las Vegas office is strategically located less than 10 miles from the Las Vegas Strip at 730 E Pilot Road, housing one of the largest fleets of self-driving vehicles. The city's advanced grid system and designation as one of America's 'smart cities' provide a unique environment for extensive research and development testing.Mission Summary:The Director of Autonomous Vehicle Testing Operations is a pivotal senior leadership role dedicated to defining and executing Motional’s vision, strategy, and performance for global test operations. Reporting to the Senior Director of Operations, you will be instrumental in ensuring the safe, reliable, and efficient management of Motional’s autonomous vehicle testing and commercial fleet. Your responsibilities will include identifying and resolving any fleet resource constraints, rapidly implementing necessary hardware modifications, and overseeing the daily operational requirements of fleet systems to guarantee readiness. As a strategic leader, you will guide cross-functional teams, develop scalable operational frameworks, and cultivate strong partnerships across engineering, program management, and fleet operations. You will promote a culture of safety, accountability, and innovation while ensuring that Test Operations play a crucial role in advancing Motional’s roadmap towards commercialization and a driverless future.What You’ll Be Doing:Strategic Leadership: Define and implement the long-term vision for Test Operations, aligning resources, personnel, and processes with company objectives and commercialization milestones.Strategic Roadmap: Develop and execute the global fleet strategy, ensuring that infrastructure and resources are optimally positioned for market expansion.Organizational Oversight: Lead, mentor, and inspire a multi-tiered organization of managers, supervisors, and operators across various test sites, promoting growth, accountability, and performance at every level.Operational Excellence: Establish and enhance policies, standard operating procedures (SOPs), and key performance indicators to ensure the safety, efficiency, and reliability of all testing activities.Executive Collaboration: Work closely with senior leaders in engineering, safety, and product development to ensure seamless integration of vehicle testing into Motional’s development and deployment lifecycle.People Development: Build and maintain talent pipelines, mentor future leaders, and implement workforce strategies that support long-term growth and employee retention.Innovation & Efficiency: Advocate for continuous improvement through the adoption of new tools, technologies, and operational models.

Join Our Team as an Autonomous Vehicle Test Operator!At Terry Soot Management Group (TSMG), we are at the forefront of field data collection, revolutionizing the way data is gathered since our establishment in 2017. We specialize in environments where automation is not feasible, meticulously counting features, capturing images, recording videos, and gathering auditory data to empower our clients to make informed decisions. With teams operating across Europe and North America, we are always ready to embrace new challenges.Role Overview:As an Autonomous Vehicle Test Operator, you will play a critical role in the operation and evaluation of self-driving vehicles in autonomous mode. Your responsibilities will include collecting essential data, providing valuable feedback, and facilitating ride-hailing services for the public. This position offers a unique opportunity to be part of cutting-edge technology in the automotive sector.

Join our team at Motional as an Autonomous Vehicle Test Operator at our Las Vegas facility! We are looking for qualified candidates who can start immediately. Be a part of our expanding fleet operation team, where you will play an essential role in testing and validating our cutting-edge self-driving vehicle technology on real roads.This position is located at Motional's Las Vegas office, situated less than 10 miles from the Las Vegas Strip at 730 E Pilot Road. Our facility is home to one of the largest fleets of self-driving vehicles. The city's well-planned grid system and designation as one of America’s “smart cities” provide a unique environment for extensive research and development testing.Mission Summary:As an Autonomous Vehicle Test Operator, you will act as the “eyes and ears” of our engineering teams, delivering both subjective feedback and objective data while navigating various real-world driving scenarios to validate our Autonomous Driving features. Safety is paramount, and you will be expected to uphold the highest standards while operating, testing, and maintaining our fleet of Autonomous Vehicles (AVs). Your attention to detail, inquisitive mindset, and ability to articulate observations clearly will be vital in this role.This role focuses on safely driving our vehicles, executing in-vehicle tests, recording test results, annotating data logs, and providing valuable feedback to our development teams.Essential Duties:Adhere to all safety policies and procedures while operating prototype-level Autonomous Vehicles on both defined and undefined routes, across diverse geographic and environmental conditions.Utilize in-vehicle data recording systems, including starting/stopping recordings, marking data, and performing minor debugging when necessary.Deliver clear, accurate, and constructive subjective feedback to engineering teams regarding observed vehicle behavior.Ensure the safe operation of our test vehicles on public roads.Travel may be required for initial training and collaboration with other vehicle operators.Complete necessary accident and incident reports.Possess sufficient English-speaking skills to communicate with first responders if required.Maintain current knowledge and compliance with all Motional AD LLC operating policies, procedures, and directives.Arrive on time for scheduled shifts, carrying appropriate driving credentials and being ready to work.

Join Motional’s Las Vegas TeamMotional's Las Vegas office, situated less than 10 miles from the iconic Las Vegas Strip, boasts one of the largest fleets of self-driving vehicles. The city's advanced grid system and designation as one of America's 'smart cities' provide an ideal environment for extensive research and development testing.Mission OverviewAs the AV Test Operations Manager, you will play a pivotal role in establishing best practices and operational protocols for Autonomous Vehicle (AV) Operators. Collaborating closely with AV Test Supervisors and Leadership, you will report directly to the Director of AV Test Operations. Your primary focus will be on driving the safe, reliable, and efficient operation of Motional's AV testing and commercial fleet. This position will also serve as a secondary escalation point for Vehicle Operators facing operational challenges that require managerial intervention. You will lead on-site teams, develop scalable operational frameworks, and foster strong partnerships across engineering, program management, and fleet operations. Your leadership will promote a culture of safety, accountability, and innovation, directly contributing to Motional's roadmap towards commercialization and a driverless future.Key Responsibilities:Coordinate with cross-functional departments, including Autonomy, Test Engineering, Data Analytics, Fleet Operations, and Safety, to ensure efficient and compliant operations.Proactively manage Test Operations to minimize disruptions during testing.Provide backup support for Vehicle Operator scheduling and vehicle dispatching.Develop and implement long-term operational strategies for the upcoming 6 to 12 months.Identify and execute process improvements while maintaining the highest safety standards.Conduct weekly performance management meetings with Supervisors.Review and analyze dash camera footage as necessary.Collect, track, and analyze operational data and intelligence.Conduct formal Performance Reviews for Operations Supervisors.Uphold company policies and procedures rigorously.Lead and manage group-level projects effectively.Support Supervisors in leading their teams as needed.Provide professional coaching and development for both Operators and Supervisors.Participate in the recruitment process for open positions within the department.

Join Motional as a Senior Software Engineer focusing on Autonomous Vehicle Performance Metrics. In this role, you will contribute to the development of cutting-edge technologies that enhance the performance and safety of autonomous vehicles. You will work alongside a talented team of engineers and researchers, leveraging your expertise to innovate and optimize software solutions.

Role Overview Motional is seeking a Test Control Engineer in Las Vegas, Nevada. This role focuses on building and supporting test control systems for autonomous vehicle technology. The work centers on making sure these systems run reliably and efficiently as new features are developed and validated. What You Will Do Design, implement, and maintain test control systems for autonomous vehicles Support development and validation efforts by ensuring test systems meet technical requirements Contribute technical expertise to improve reliability and efficiency in testing processes What We Look For Experience with test control systems or similar technical environments Ability to solve problems creatively and bring new ideas to engineering challenges Interest in advancing autonomous vehicle technology and transportation

Mission Overview:The Autonomous Vehicle (AV) Test Engineering team at Motional is dedicated to ensuring the safety, functionality, and performance of our cutting-edge self-driving technology through rigorous and systematic testing protocols. As a Senior AV Test Engineer, you will play a pivotal role in strategizing, planning, and executing extensive test campaigns covering perception, planning, and control systems across various environments, including virtual simulations, closed courses, and public roadways.In this capacity, you will lead the development of testing initiatives across multiple AV subsystems, mentor junior engineers, and spearhead enhancements to our testing tools, infrastructure, and methodologies. Your leadership will be crucial in driving cross-functional projects that significantly influence product readiness and safety assurance, translating complex engineering specifications into actionable test plans and quantifiable quality metrics. Your contributions will be essential in advancing iterative development, conducting fault injection analyses, and validating safety-critical systems that adhere to the highest standards of reliability and compliance.

Role Overview:As an Autonomous Vehicle Operations Supervisor at Terry Soot Management Group (TSMG), you will play a pivotal role in leading our field data collection initiatives. Your primary responsibility will be to oversee operational management while serving as the key point of contact between our clients' program managers and the vehicle specialists/operators. You will effectively manage a dedicated team of operators to ensure the seamless execution of client missions and the highest quality of service.Company Description:Terry Soot Management Group (TSMG) is a pioneering field data collection company established in 2017 in Europe. We excel in gathering critical data in environments where automation is not feasible. Our mission is to provide thorough and precise data collection, including counting features, capturing images and videos, recording speech, and scanning areas for detailed insights. With teams strategically positioned across Europe and North America, we are equipped to tackle diverse challenges and support informed decision-making for our clients.

Role Overview:As a Depot Supervisor at Terry Soot Management Group, you will oversee operations and management of a depot focused on autonomous vehicles. This pivotal role requires a comprehensive understanding of AV technology along with exceptional organizational and leadership skills. You will coordinate and manage a diverse team of drivers and support staff, ensuring the effective and secure deployment of AVs for testing purposes.

Mission Summary: The Autonomous Vehicle (AV) Test Engineering team at Motional is dedicated to ensuring the safety, functionality, and performance of our cutting-edge self-driving technology through meticulous system-level testing. As a Senior AV Test Engineer, you will play a pivotal role in the strategy, planning, and execution of extensive test campaigns that encompass perception, planning, and control systems across virtual, closed-course, and public road environments. Motional is in search of a highly skilled and driven Senior AV Test Engineer to become part of our AV Test Engineering team. Your primary focus will be on validating the commercial readiness of our robotaxi service by conducting rigorous testing of our self-driving technology. This position requires a proven technical leader capable of steering test development, fostering continuous improvements of our infrastructure, and maintaining high standards for release readiness and safety assurance as we progress toward mass deployment. Key Responsibilities: Lead the planning, design, and execution of comprehensive validation campaigns targeting Perception, Planning, and Control systems utilizing simulation, SIL, HIL, and on-vehicle environments, specifically focusing on scenarios critical for robotaxi reliability and rider experience. Oversee test execution and documentation to uphold the highest standards, ensuring compliance with safety-critical benchmarks (ISO26262, ISO21448 (SOTIF)) and emphasizing Operational Design Domain (ODD) limits and safe fallback procedures. Develop, maintain, and enhance a robust, scalable test infrastructure and automation frameworks using Python, Shell, and relevant platforms to facilitate high-volume, fleet-wide software rollouts. Act as a technical lead for scenario-based testing (utilizing tools like Applied Intuition) and AV capability campaigns, concentrating on end-to-end mission performance and service uptime. Service Readiness Validation: Design and implement testing for essential non-driving features such as rider interactions, remote assistance handoffs, fleet operations protocols, and over-the-air (OTA) update verification.

Join Motional as a Remote Vehicle Assistance Agent in Las Vegas!Located conveniently less than 10 miles from the iconic Las Vegas Strip, Motional's Las Vegas office boasts one of the largest fleets of self-driving vehicles. The city’s advanced grid system and reputation as one of America’s “smart cities” provide an excellent environment for extensive research and development testing.Mission Overview:The Remote Vehicle Assistance Agent plays a crucial role in monitoring live data and providing expert remote assistance to our autonomous vehicles when they face unexpected situations. Leveraging proprietary software tools, you will interact with the vehicles, offering context and guidance to ensure they can continue their journey safely and efficiently—no steering wheel required!Key Responsibilities:Monitor Motional autonomous vehicles (AVs) on both closed courses and public roads.Support AV decision-making processes by analyzing real-world events to ensure safe and efficient travel routes.Oversee AV camera feeds to verify functionality and performance.Ensure all AV systems are operational and functioning properly.Provide real-time support to AVs to facilitate safe navigation.Collaborate closely with engineering teams for system testing and new scenario evaluations.Work alongside design teams to enhance AV functionality and performance.Interact with AVs to address issues and resolve tickets using various software and hardware tools.Report system functionality issues to management promptly.Perform other related duties as assigned.

Mission Summary: Join us at Motional as a Principal Engineer Team Lead, where you will spearhead a talented team focused on developing and optimizing advanced trajectory planning algorithms for autonomous vehicles. This pivotal role places you at the heart of our innovation, enabling our fleet to navigate complex environments with safety, efficiency, and comfort. As a vital leader, you will oversee the continuous enhancement of state-of-the-art trajectory generation algorithms, collaborating closely with cross-functional teams in Planning, Perception, Prediction, Localization, Machine Learning Products, and Systems Engineering. You will also mentor a group of highly skilled engineers to deliver cutting-edge solutions in the realm of autonomous driving. If you are enthusiastic about autonomous vehicle technology and are eager to contribute to our commercial launch this year, we would love to connect with you! Key Responsibilities: Lead and expand a high-impact trajectory planning team, defining its technical vision, execution strategy, and long-term role within the Motion organization. Drive readiness for our commercial launch by improving on-road driving behavior—prioritizing safety, comfort, and assertiveness across the fleet—through innovative feature expansion and performance enhancements. Utilize a robust, metrics-driven approach to quantify and improve on-road performance, ensuring scalable and production-ready delivery. Manage the efficiency and real-time performance of trajectory generation algorithms to meet latency requirements. Lead rapid triage and root-cause analysis of critical fleet incidents, transforming real-world scenarios into immediate algorithmic refinements. Oversee successful execution of complex, multi-team initiatives, ensuring technical alignment from design to deployment while upholding high testing and validation standards essential for our commercial launch. Collaborate with peer leads to provide technical leadership, making strategic decisions regarding architectural direction, investments, tactical execution, and technical debt management. Drive technical excellence through meticulous design and code reviews while fostering team professional growth and mentorship.

Join Motional's dynamic team in Las Vegas, located just a short drive from the iconic Las Vegas Strip. Our office is home to one of the largest fleets of self-driving vehicles, and the city's advanced grid system and status as one of America's 'smart cities' provide an ideal environment for extensive research and development.This position is based in our Las Vegas office, requiring in-office presence each week.Role Overview:As a pivotal technical leader, you will drive the launch of our commercial Autonomous Vehicle (AV) ride service in Las Vegas. We are searching for a Staff Software Engineer with a robust product-oriented perspective to connect our Operations partners with our global Engineering team. You will spearhead the development of essential operational tools, such as fleet management and orchestration systems, while defining the technology roadmap to align with real-world demands.Key Responsibilities:Hands-on Development & Leadership: Lead the design and implementation of high-impact operational tools, developing both frontend and backend services utilized by the Operations team for fleet monitoring and management. You will ensure a balance between long-term scalability and immediate operational needs.Serve as the primary engineering representative at the Las Vegas AV operation center, providing real-time technical support and troubleshooting to guarantee daily operational success.Engage in the recruitment and onboarding of new team members, mentor junior engineers, and establish workflows that facilitate seamless collaboration between our Las Vegas and Singapore teams.Product Engineering & Stakeholder Alignment:Bridge between Operations and Technology: Collaborate closely with Operations, Product, and Technical Program Managers (TPMs) to translate complex real-world fleet challenges into actionable technical requirements for our global engineering teams.Define the Tooling Roadmap: Advocate for the vision of our fleet management and orchestration systems, identifying key issues to solve for enhanced fleet efficiency and reduced manual effort.Feedback Loop Architect: Create processes and features that convert qualitative operational feedback into quantitative data, aiding the global team in prioritizing platform enhancements.

Mission Overview: The Senior Systems Safety Engineer: Leads the design and execution of engineering safety protocols for our cutting-edge autonomous vehicle (AV) systems. Takes charge of hazard evaluations, risk assessments, and guarantees adherence to established safety standards such as ISO 26262, SOTIF, and ASIL. Engages with interdisciplinary teams, including software, hardware, and AI specialists, to ensure safety is seamlessly integrated into the AV system design and validation processes. Core Responsibilities: Supervise and implement comprehensive system safety procedures for autonomous vehicle platforms. Conduct thorough hazard analyses and risk assessments (HARA) on AV components and subsystems. Support the definition and validation of functional safety requirements in line with ISO 26262 and SOTIF (ISO 21448). Collaborate with hardware, software, and AI teams to embed safety measures into perception, decision-making, and control subsystems. Contribute to the creation of failure mode and effects analysis (FMEA) and fault tree analysis (FTA) for AV systems. Ensure compliance with regulatory and industry safety standards, including SAE J3016, NHTSA, and UNECE WP.29. Oversee the development and execution of safety verification and validation plans, encompassing simulation, testing, and real-world driving scenarios. Work alongside certification bodies and regulatory agencies to facilitate safety case documentation and approval workflows. Promote a culture of safety within the organization by providing guidance and training.

Motional's Las Vegas office is strategically located less than 10 miles from the iconic Las Vegas Strip at 730 E Pilot Road, housing one of the largest fleets of autonomous vehicles. The city's advanced grid system and designation as one of America's 'smart cities' create an ideal environment for extensive research and development testing in autonomous driving technology.Mission Summary:The Senior Engineering Safety Manager plays a pivotal role in defining, guiding, and ensuring comprehensive technical safety cases for our cutting-edge autonomous driving systems. This position collaborates cross-functionally with safety, engineering, legal, and regulatory teams to ensure our technology meets and exceeds safety standards. A profound understanding of functional safety, systems engineering, and the integration of advanced AI-driven perception and control technologies is essential.This role involves leveraging expertise in safety assurance, functional safety, and regulatory compliance to validate the safety of our autonomous systems. Additionally, the Senior Engineering Safety Manager will lead a team of safety engineers who work closely with various cross-functional teams, including AI/ML, computer vision, robotics, hardware, and software, ensuring that our autonomous vehicles adhere to and surpass safety and regulatory benchmarks.What You’ll Be Doing:Provide leadership and mentorship to the Safety Engineering team, fostering a culture of technical excellence and a safety-first mindset.Define and implement the company’s safety engineering strategy, aligning with industry standards, regulatory frameworks, and internal objectives.Act as a representative for safety engineering in executive discussions, technical reviews, and customer/regulatory engagements.Safety Engineering:Ensure compliance with applicable regulations and standards.Lead safety assessments for AI and computer vision systems, tackling challenges such as non-deterministic behavior, perception uncertainty, and machine learning robustness.Oversee the development of customized technical safety case components for our autonomous driving systems.Formulate technical safety case strategies, argument structures, and evidence collection methods to substantiate the safety and reliability of AV technologies.Develop safety argumentation frameworks and assurance cases, collaborating with cross-functional teams—including systems engineering, AI/ML, perception, control, and validation—to incorporate safety considerations into system design.

Mission Summary: At Motional, we are revolutionizing the way autonomous vehicles extract vital intelligence from vast amounts of multimodal sensor data. Our cutting-edge autonomous driving stack relies on identifying rare edge cases, long-tail scenarios, and critical model errors. Our ML-powered multimodal data mining framework, Omnitag, serves as the backbone for this discovery process. As a Senior Machine Learning Engineer on the Data Mining team, you will be tasked with constructing the "Brain" of this framework. This involves designing large-scale multimodal Teacher models that comprehend the intricacies of the world, followed by distilling them into highly efficient Student models capable of processing exabytes of data in near real-time. Your contributions will sit at the crossroads of large-scale representation learning, retrieval optimization, and reasoning systems. You'll directly affect how we compress knowledge into effective encoders for rapid searches and how we utilize reinforcement learning to enhance data discovery workflows and intelligent querying. By developing smarter mining tools, you'll expedite the entire model improvement lifecycle for teams engaged in post-training analysis, error diagnosis, and dataset curation. What You’ll Do: Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop efficient training pipelines for knowledge distillation while ensuring that student models achieve high accuracy with minimal inference latency and memory usage. Reinforcement Learning for Data Discovery: Create RL-based policy learning and reasoning systems tailored for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for both simulation and real-world interactions. Investigate reward shaping, environment modeling, and multi-agent RL when relevant. Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production, optimizing for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and performance regression monitoring. Research and Integrate Agentic Systems: Explore and prototype workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate these systems into our broader autonomy stack as experimental or production components. Drive Production Reliability: Establish patterns and protocols that enhance the reliability of our production systems.

Anduril Industries is a pioneering defense technology firm dedicated to enhancing the capabilities of the U.S. and allied military forces through innovative technologies. By integrating the cutting-edge expertise, technologies, and business models of the 21st century's most forward-thinking companies, Anduril is fundamentally transforming the design, manufacturing, and deployment of military systems. At the heart of Anduril's operations lies Lattice OS, an AI-powered platform that consolidates vast data streams into a real-time, interactive 3D command and control center. As global strategic competition intensifies, Anduril is committed to delivering groundbreaking advancements in autonomy, artificial intelligence, computer vision, sensor fusion, and networking technology to military applications in a fraction of the traditional timeline.This role seeks a dynamic and detail-oriented Senior Flight Test Engineer who will take the lead on the developmental testing of a revolutionary Group 5 UAS. Collaborating closely with program leadership and cross-functional teams, you will be instrumental in establishing a team dedicated to addressing complex challenges and reshaping the industry. Your responsibilities will encompass planning, coordinating, executing, and reporting on all aspects of the test program.The Test and Evaluation team at Anduril spans all product lines and business areas, managing flight operations and test range activities. Our team undertakes comprehensive system-level development testing, production acceptance testing, component qualification testing, and more. If you thrive in a highly innovative, fast-paced environment where your contributions have a direct impact on fielded products, this position represents an exceptional opportunity.

Motional’s Las Vegas office, conveniently located under 10 miles from the iconic Las Vegas Strip, is a hub for one of the largest fleets of self-driving vehicles. The city’s advanced grid system and designation as one of America’s leading “smart cities” provide an ideal environment for extensive research and development.This position is based in our Las Vegas office and will require in-office attendance several days each week.Mission Summary:Become a key player in our journey as we introduce our commercial Autonomous Vehicle (AV) ride service. We are in search of a dedicated Senior Software Engineer to join our Command Center team, where you will serve as the crucial link between our real-world AV operations and our core development team. Your efforts will ensure smooth vehicle operations and drive the rapid evolution of our technology.Key Responsibilities:AV Operations Integration & SupportServe as the principal engineering presence at the Las Vegas AV operation center, offering real-time technical support and troubleshooting to guarantee daily mission success.Address production incidents to minimize downtime and enhance feedback loops between on-road operations and our global engineering teams.Establish yourself as the go-to technical expert by providing operational insights that shape our product roadmap and support our readiness for commercial launch.Command Center Feature DevelopmentDesign and develop innovative software tools to optimize AV fleet operations, including cloud platforms, over-the-air deployment, and fleet management systems.Construct and maintain essential technologies, including ride-hail partner integration and the global scaling of our autonomous vehicle services.Collaborate across functions to deliver scalable and efficient solutions that meet both engineering and operational requirements.

Location: Las Vegas, Nevada, United States Motional develops autonomous driving technology aimed at making driverless vehicles safe, reliable, and accessible. Backed by Hyundai Motor Group, Motional works to advance transportation safety and sustainability through real-world deployment of AI-powered vehicles. Team: Systems Readiness and Performance This group bridges software development and real-world application. The team leads system design, validates the autonomy stack, and sets measurable performance targets. Collaboration with autonomy, infrastructure, and operations teams is key to building the safety case for launching fully driverless IONIQ 5 robotaxis in Las Vegas. Role overview The Senior Engineer, Autonomy Machine Learning Systems, joins the Autonomy Subsystems team, which designs and evaluates autonomy software modules. This role centers on improving machine learning subsystems within Motional's autonomy stack. Evaluate machine learning models using offline testing, open and closed-loop re-simulations, and on-road performance analysis Define and track metrics for autonomy subsystem performance Validate machine learning model performance against established metrics Deliver insights to machine learning developers and teams to help improve model performance in deployed vehicles Requirements Experience designing and evaluating safety-critical systems and machine learning models Interest in autonomy, robotics, and machine learning Motivation to help build production-ready systems for scaled robotaxi deployment