Associate RVA Instructor

About the role

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 role 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.

Responsibilities

• 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.
• Audit 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 before 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.

Qualifications

• Prior experience in the automotive, autonomous vehicle, robotics, or fleet operations environment.
• 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.
• Able to work flexible schedules, including nights, weekends, or holidays, to support operational needs.
• Valid driver’s license required.

Preferred Qualifications

• 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 with equivalent experience.