Fleet Support Engineer
ManpowerGroup, Foster City, CA, United States
Our client, a leader in autonomous vehicle technology and fleet management, is seeking a Fleet Support Engineer to join their team. As a Fleet Support Engineer, you will be part of the Vehicle Development department supporting the Fleet Support team. The ideal candidate will demonstrate analytical thinking, proactive problem-solving, and excellent communication skills, which will align successfully in the organization.
Responsibilities
Serve as the primary point of contact for Tier 3 escalations on sensor-related fleet issues, including LiDAR, cameras, and radar.
Diagnose and resolve complex hardware, software, tooling, or process failures related to sensors and perception systems using comprehensive log review and data analysis.
Develop thorough troubleshooting guides for Tier 1 and Tier 2 escalations, enabling consistent and holistic diagnosis across all service depots.
Lead deep-dive investigations into novel failure modes using root cause analysis methodologies like 7-Step or 8D problem solving techniques.
Monitor fleet-wide telemetry to identify emerging trends in hardware degradation or firmware/software regression before they become critical failures.
Qualifications
Minimum 6+ years of relevant experience in automotive, autonomous vehicles, transportation, or aerospace.
Bachelor’s degree in Mechanical Engineering, Electrical Engineering, or Automotive Engineering.
Deep understanding of LiDAR, cameras, and radar hardware including calibration, integration, and field troubleshooting.
Familiarity with data formats and pipelines used by perception systems (e.g., point clouds, image streams, radar returns).
Proficiency with network analysis tools (e.g., Wireshark, Vector tools) for Automotive Ethernet debugging.
Benefits
Opportunity to work on cutting-edge autonomous vehicle technology in a dynamic environment.
Collaborate with a talented and innovative team dedicated to advancing transportation safety and reliability.
Gain valuable experience in fleet diagnostics, hardware validation, and engineering feedback processes.
Be part of a company committed to diversity, inclusion, and professional growth.
Enjoy a supportive work environment with opportunities for continuous learning and development.
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Responsibilities
Serve as the primary point of contact for Tier 3 escalations on sensor-related fleet issues, including LiDAR, cameras, and radar.
Diagnose and resolve complex hardware, software, tooling, or process failures related to sensors and perception systems using comprehensive log review and data analysis.
Develop thorough troubleshooting guides for Tier 1 and Tier 2 escalations, enabling consistent and holistic diagnosis across all service depots.
Lead deep-dive investigations into novel failure modes using root cause analysis methodologies like 7-Step or 8D problem solving techniques.
Monitor fleet-wide telemetry to identify emerging trends in hardware degradation or firmware/software regression before they become critical failures.
Qualifications
Minimum 6+ years of relevant experience in automotive, autonomous vehicles, transportation, or aerospace.
Bachelor’s degree in Mechanical Engineering, Electrical Engineering, or Automotive Engineering.
Deep understanding of LiDAR, cameras, and radar hardware including calibration, integration, and field troubleshooting.
Familiarity with data formats and pipelines used by perception systems (e.g., point clouds, image streams, radar returns).
Proficiency with network analysis tools (e.g., Wireshark, Vector tools) for Automotive Ethernet debugging.
Benefits
Opportunity to work on cutting-edge autonomous vehicle technology in a dynamic environment.
Collaborate with a talented and innovative team dedicated to advancing transportation safety and reliability.
Gain valuable experience in fleet diagnostics, hardware validation, and engineering feedback processes.
Be part of a company committed to diversity, inclusion, and professional growth.
Enjoy a supportive work environment with opportunities for continuous learning and development.
#J-18808-Ljbffr