Autonomous Vehicle Remote Support Specialist(Overnight Shift)

About The Role

The Customer Advocacy and Solutions organization at Uber is responsible for delivering world-class customer support across all modalities. Within this organization, the AV Remote Support team operates at the intersection of operations and autonomy, providing real-time support to autonomous vehicles in live environments.

As an AV Remote Support Specialist , you will operate as a frontline specialist handling complex and ambiguous real-time AV scenarios, requiring strong judgment and technical aptitude. This role aligns with advanced support expectations, requiring decision-making in edge cases and collaboration across stakeholders.

This is a 100% in-person role and we do not offer remote positions or hybrid work. We are primarily looking to staff our overnight team which is 10pm-7am. 

What You Will Do

• Provide real-time intervention using camera and sensor feeds to support AV operations
• Guide vehicles through edge-case scenarios (e.g., road closures, obstructions, unusual traffic behavior)
• Exercise judgment in situations without clearly defined procedures
• Handle escalations and high-complexity incidents as part of core responsibilities
• Document incidents and provide detailed reports for downstream teams
• Communicate with cross-functional stakeholders to resolve issues
• Identify recurring issues and contribute to root cause analysis

Basic Qualifications

• Ability to work shift schedules, including evenings, weekends, holidays, and overnight shifts
• Ability to pass required certification training
• Understanding of U.S. traffic laws
• At least 1 year of experience in operations, technical support, product testing, or similar roles
• Must possess and maintain a valid driver’s license* issued by a U.S. state or territory, if assigned duties that require licensed-driver judgment or if a license is legally or operationally required for the assigned work.

Preferred Qualifications

• Strong judgment and decision-making skills
• Ability to maintain strong decision-making and focus during critical real-time operational incide