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Autonomous Vehicle Operations Supervisor Jobs (NOW HIRING)

About the Role We are looking for an Autonomous Vehicle Operations Lead (AVOS) to oversee the daily operations of autonomous vehicle (AV) and robotaxi fleets supporting testing programs, commercial ...

The Vehicle Operations Supervisor role is a management role with the Hertz Corporation that ... Must be self-starter with ability to work autonomously * Must be able to work in inclement weather ...

Develop management protocols and accountability systems to ensure timely execution of operational strategies. * Act as the primary liaison for client relations, ensuring outstanding service and ...

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Autonomous Vehicle Operations Supervisor information

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How much do autonomous vehicle operations supervisor jobs pay per year?

As of Sep 10, 2026, the average yearly pay for autonomous vehicle operations supervisor in the United States is $63,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $77,500.00 per year, depending on experience, location, and employer.

What does an autonomous vehicle operations supervisor do?

An Autonomous Vehicle Operations Supervisor oversees the daily activities and safety of self-driving vehicle fleets. They manage teams of vehicle operators, monitor vehicle performance, and ensure that testing or deployment aligns with company protocols and safety standards. Additionally, they are responsible for troubleshooting issues, reporting incidents, and coordinating with engineers to improve vehicle operations. Their role is critical in ensuring both operational efficiency and safety as autonomous vehicle technology evolves.

What are the key skills and qualifications needed to thrive as an autonomous vehicle operations supervisor?

To thrive as an Autonomous Vehicle Operations Supervisor, you need strong knowledge of autonomous vehicle systems, safety protocols, and relevant transportation regulations, often supported by a technical degree or equivalent experience. Familiarity with fleet management software, vehicle telematics systems, and industry certifications such as a commercial driver’s license (CDL) or safety certifications is typical. Leadership, effective communication, and problem-solving skills set outstanding supervisors apart in managing teams and responding to operational challenges. These skills ensure safe, efficient, and compliant operation of autonomous vehicle fleets in a rapidly evolving industry.

What are some common challenges faced by autonomous vehicle operations supervisors, and how can they effectively address them?

Autonomous Vehicle Operations Supervisors often encounter challenges such as ensuring safety compliance, coordinating between remote operators and technical teams, and managing real-time incident responses. Effective supervisors proactively develop clear communication protocols, stay updated on regulatory requirements, and foster a culture of continuous training for their teams. By leveraging data analytics to monitor vehicle performance and maintaining close collaboration with engineering and safety departments, they can address issues quickly and help ensure smooth operations.

What cities are hiring for Autonomous Vehicle Operations Supervisor jobs?

Cities with the most Autonomous Vehicle Operations Supervisor job openings:

What states have the most Autonomous Vehicle Operations Supervisor jobs?

States with the most job openings for Autonomous Vehicle Operations Supervisor jobs include:

What are popular job titles related to Autonomous Vehicle Operations Supervisor jobs?

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Infographic showing various Autonomous Vehicle Operations Supervisor job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $63,456 per year, or $30.5 per hour.

Autonomous vehicle operations supervisor

Dallas, TX • On-site

Full-time

Re-posted yesterday


Job description

Company description
 
Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. 
 
We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges.
 
Role Overview:
The Shift Supervisor is responsible for managing and oversight of the operations while acting as the liaison between the Client's program managers and vehicle specialists/operators. They manage a team of operators and ensures efficient delivery of the missions requested by client.
Academic Preference & Qualifications:
  •  High School Diploma or GED; Bachelor’s Degree from an accredited university preferred
  • 2 or more years Operations experience in leading teams.
Key responsibilities:
  • Responds to system emergencies; investigates and completes accident reports, incidents, and customer complaints
  • Coordinate, monitor and supervise the activities of subordinates. Informs other management personnel regarding operational/personnel problems as appropriate and offer ideas towards resolution.
  • Respond to service problems and investigate and respond to unsafe location/situation reports
  • Develop and schedule program work plan in accordance with specifications in conjunction with the client’s staff; oversee daily operations and coordinates activities of program; determines priorities.
  • Maintain high standard of safety across the program/team.
Necessary Skills:
  • Ability to use a computer to generate reports and schedules.
  • Ability to understand, and interpret system operating rules, regulations, policies, phases and routes.
  • Good written and oral communication skills.
  • Must be able to work either early mornings, evenings, and/or weekends, flexible shift if needed.
We would be happy to get to know you and your skills better and see how we can support each other's growth.

Please apply and let's meet!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.