Autonomy Robotics Operations Specialist

DoorDash Mexico; Ciudad de México; Presencial; MXN 360.000 - 480.000; Jornada completa

Descripción de la vacante

DoorDash Mexico is seeking an Operations Specialist for Autonomy Tech Support to ensure the successful daily operations of the robot fleet and to bridge communications between Operations and Engineering.

This 100% in-office role requires early/late shifts, including weekends. You will escalate and troubleshoot software and hardware issues, document new symptoms, analyze trends, and contribute to knowledge-base creation with the engineering team.

Formación

• Experience debugging and troubleshooting complex technical problems.
• Prior experience with autonomous vehicles and/or robotics.
• Willing to work flexible hours including weekends.
• Comfortable with Linux command line, GitHub, Jira, and Service software.

Responsabilidades

• Be a primary contact for escalated software and hardware issues encountered during autonomy operations and testing.
• Perform initial debugging and troubleshooting to capture important details to identify issue and implement resolution and mitigation steps.
• Document new symptoms or failure modes that emerge in the field and work with engineering to determine appropriate mitigation steps.
• Use trend analysis to report and triage anomalies, bugs and faults with necessary information to facilitate accurate Engineering investigation and resolution.
• Create resolution steps documentation and maintain knowledge base.

Conocimientos

Linux command line

GitHub

Jira

Service software

Debugging

Autonomy robotics

Flexible hours

Curiosity

Herramientas

GitHub

Jira

Descripción del empleo

DoorDash Mexico is seeking an Operations Specialist for Autonomy Tech Support to ensure the successful daily operations of the robot fleet and to bridge communications between Operations and Engineering.

This 100% in-office role requires early/late shifts, including weekends. You will escalate and troubleshoot software and hardware issues, document new symptoms, analyze trends, and contribute to knowledge-base creation with the engineering team.