Associate RVA Instructor

The Associate RVA Instructor plays a critical role in enabling safe, compliant, and scalable autonomous vehicle operations by developing and delivering training programs that prepare Remote Vehicle Assistance (RVA) personnel to support autonomous driving systems. Reporting to the RVA Supervisor, this role serves as a subject matter expert responsible for onboarding, certifying, and continuously developing remote operations personnel through classroom instruction, simulation exercises, and operational coaching. The Associate RVA Instructor partners cross-functionally with Operations, Systems Engineering, Vehicle Integration Engineering, and Learning & Development teams to translate technical system changes into effective training content and operational procedures. By applying technical expertise, instructional excellence, and operational judgment, this role ensures agents are prepared to safely manage routine, non-routine, and complex remote vehicle assistance scenarios while supporting research and development activities, commercialization initiatives, and continuous improvement efforts that advance Motional's driverless future.

• Facilitate instructor-led training for new and existing Remote Operations personnel on standard, non-standard, and complex remote vehicle assistance events, ensuring operational proficiency and adherence to established procedures.
• Deliver event-based training exercises, simulations, and scenario walkthroughs that build agent competency in responding to autonomous vehicle interventions and escalations.
• Serve as a subject matter expert (SME) on RVA tools, workflows, and event handling, providing hands-on instruction and knowledge transfer to support onboarding and operational readiness.
• Assess trainee performance during hands-on instruction, simulations, and live operational observations, providing coaching and recommending additional development where needed.
• Lead new-hire onboarding activities and support certification processes to ensure personnel achieve operational readiness standards prior to performing independent duties.
• Provide formal instruction, coaching, and mentoring to new and less experienced agents on standard, recurring, and complex remote vehicle assistance scenarios, reinforcing procedural compliance, critical thinking, and operational best practices.
• Partner with Training and operational leadership to continuously improve training materials, certification requirements, and instructional methodologies based on operational learnings and system changes.

• Provide operational support for RVA activities in accordance with established policies, procedures, safety standards, and regulatory requirements.
• Review standard operating procedures (SOPs) and training materials for technical accuracy, completeness, and compliance with operational requirements.
• Develop, revise, and maintain SOPs, training guides, and certification materials for new tools, processes, or system changes with appropriate review and approval.
• Perform controlled updates to workstation software, server usage, and hardware in accordance with change management and access control procedures.
• Accurately document technical findings, reproducible issues, real-time autonomous vehicle events, and escalation actions to support incident tracking, audit readiness, and root cause analysis.
• Collaborate cross-functionally with Engineering and other stakeholders to communicate system changes, validate operational readiness, and ensure required training is completed prior to deployment.
• Monitor system health indicators and initiate corrective actions in accordance with established thresholds and escalation protocols.
• Certify autonomous vehicle readiness for daily operations and triage/troubleshoot autonomous vehicle hardware and software issues as they relate to remote operations responsibilities.
• Act as a liaison with internal stakeholders to coordinate testing schedules, communicate operational impacts, and ensure alignment with safety and compliance expectations.
• Ensure the safe and compliant operation of autonomous vehicles on public roads by adhering to all operational, safety, and escalation protocols.
• Serve as an escalation point for complex, non-routine, or high-risk remote vehicle assistance scenarios requiring advanced assessment or coordination.
• Perform additional duties as assigned, consistent with role scope and authorization.

• Prior experience in the automotive, autonomous vehicle, robotics, or fleet operations environment
• Ability to diagnose and troubleshoot issues across automotive systems, robotic platforms, computer hardware, software applications, and network infrastructure
• Working proficiency with Linux-based systems and familiarity with scripting languages used for diagnostics, automation, or analysis
• Proficiency with Microsoft Office and Google Workspace tools, including PowerPoint/Slides, Excel/Sheets, and Word/Docs
• Successful completion of required role-based eLearning and certification content related to supported vehicle platforms and systems
• Demonstrated ability to apply logical, unbiased analysis to problem-solving, including isolating issues, documenting findings, and tracking resolution through established processes
• Proven ability to follow detailed procedures, execute tasks accurately, and quickly learn new tools or workflows, with a strong attention to detail and safety-first mindset
• Strong written and verbal communication skills, with the ability to clearly document technical information and collaborate across teams
• Excellent organizational and time management skills, with the ability to manage multiple tasks in a time-sensitive operational environment
• Ability to adapt to changing conditions and apply flexible, creative thinking within established operational and safety guidelines
• Availability to work flexible schedules, including nights, weekends, or holidays, to support operational needs
• Valid driver’s license required

• Working knowledge of the Atlassian toolchain, including JIRA, Confluence, Bitbucket, and Jenkins, for issue tracking, documentation, and workflow coordination
• Familiarity with programming languages such as Java, C++, or similar languages used in embedded or systems-level development
• Hands-on experience with diagnostic and analysis tools such as Docker, Python, and network analysis utilities (e.g., Wireshark)
• Knowledge of modern automotive diagnostic procedures, vehicle networks, and service workflows
• Experience with system-level architectures and sensors commonly used in autonomous vehicles, including LiDAR, radar, cameras, CAN bus, and associated data networks
• Associate or BS in Engineering/Physics/Science or relevant field w/equivalent experience
• Demonstrated experience working in a Linux-based environment for operational, diagnostic, or analytical purposes
• Experience performing data analysis to support issue investigation, trend identification, or operational decision-making

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand, walk, use hands to finger, handle, or feel, and reach with hands and arms.

• Requires near/far/depth and color vision to safely assist Autonomous Vehicles and computer screens
• Able to stay awake and alert on shift at all times
• Able to sit/stand for up to 10 hours at a desk

This role requires the ability to work in an office environment and use a computer, telephone, and other office equipment as needed to perform duties. The noise level in the work environment is typical of that of an office. The employee may encounter frequent interruptions throughout the workday. The employee is regularly exposed to mechanical and computer parts. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Motional AD LLC is an Equal Employment Opportunity employer and we welcome all qualified applicants. All applicants will receive impartial consideration without regard to race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation, or another legally protected status. Motional AD LLC is a Drug-free workplace.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.  

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit  www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.