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Fleet Support Engineer

Las Vegas, NV

Posted: 06/11/2026 Industry: Engineering Job Number: 26-80756 Pay Rate: 70-76 USD/Hour

Job Description

Job Title: Fleet Support Engineer
Location: Las Vegas, NV (Onsite)
Duration: 06+ months (Possible Extension)
Pay rate: $73/hr. –$76.00/hr. On w2 (All Inclusive)

Shift: Tuesday through Saturday, 8: 00AM - 5: 00PM

Job Description:


Serve as the primary point of contact for real-time escalations for sensor-related fleet issues.
Conduct in-depth root cause analysis through comprehensive log review to identify and resolve fleet issues.
Develop, update, and maintain a comprehensive troubleshooting guide for technicians, incorporating newly diagnosed faults and their resolutions.
Perform hardware bring-up and validation procedures for new sensor components (LiDAR, radar, cameras, etc.).
Design and implement diagnostic procedures to streamline future troubleshooting processes, with a focus on sensor calibration and data integrity.
Historical review of vehicle/fleet data, including sensor data, identifying trends and issues.
Define and capture essential data points to validate issue resolution and measure the effectiveness of implemented solutions.
Engage in cross-functional collaboration to drive continuous improvement in vehicle performance and reliability.
Availability for overtime as needed, with advanced notice provided.
Willingness to travel occasionally within the U.S. To support various operational locations.

Qualifications:

Minimum 6 years of relevant experience in transportation, aerospace, or autonomous vehicles, with a specific focus on perception systems and sensors.
Bachelor’s degree in electrical engineering or computer engineering.
Experience with low/high voltage circuits, Unified Diagnostic Services (UDS), and how to safely troubleshoot.
Embraces a holistic problem-solving approach to identifying issues with high-level vehicle functions and drive specific resolution into single components.

Preferred Qualifications:

Experience with electric vehicle technology.
Experience with remotely supporting vehicle troubleshooting.
Knowledge of vehicle systems and diagnostics tools.
Experience with Linux & Python-based programming systems for fleet-level data processing.
Experience with software that interfaces with hardware.
Familiarity with networking, TCP, and socket programming.

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