Self-Driving Systems Specialist
Pubblicato il 23-09-2026 - TSMG Holding in Milano
SDS Specialist – Autonomous Vehicle Diagnostics & Calibration
About The Role
We are looking for a Self-Driving Systems Specialist (SDS Specialist) to support the diagnostics, calibration, configuration, and technical readiness of self-driving systems used in autonomous vehicles and robotaxi fleets across Europe. The SDS Specialist focuses on the technology layer of autonomous mobility: sensors, compute systems, software configurations, autonomous driving hardware, system diagnostics, calibration procedures, and technical validation. This role ensures that the self-driving system installed in each autonomous vehicle is functioning correctly, accurately calibrated, and ready to support safe testing, commercial deployment, and autonomous ride-hailing operations.
You will work closely with Senior Technicians, AV Operations Leads, Safety Operators, Depot Specialists, engineering teams, and fleet operations teams to identify technical issues, execute structured troubleshooting procedures, and support reliable operation of autonomous vehicle platforms.
This position is ideal for candidates with experience in automotive electronics, ADAS systems, embedded systems, robotics, diagnostics, calibration, or complex technical support who want to work at the center of autonomous vehicle deployment and robotaxi operations.
Key Responsibilities
Self-Driving System Diagnostics
- Diagnose and troubleshoot self-driving system issues affecting autonomous vehicle performance and fleet readiness
- Investigate technical problems related to cameras, LiDAR, radar, GPS/GNSS, compute units, sensors, connectivity modules, wiring, and autonomous driving hardware
- Execute structured diagnostic procedures to identify root causes of SDS hardware, software, and configuration issues
- Support advanced troubleshooting for autonomous vehicle faults that impact testing, commercial operations, or robotaxi fleet availability
- Escalate complex technical cases to engineering teams with clear findings and