Customer Usage Data - Connected Vehicle Engineer Technical Expert

Segula Technologies • Auburn Hills, MI

8h

About The Position

We are seeking a highly skilled Connected Vehicle Data Technical Expert to join our Vehicle Development & Validation team. In this critical role, you will define and implement the strategy for collecting, storing, and analyzing large-scale customer usage data from our connected vehicle fleet. Your work will directly influence product development, system engineering, and the resolution of complex warranty and quality issues across our internal combustion, hybrid, and electric vehicle lineups.
You will act as the bridge between software-defined vehicle policies and real-world engineering insights, ensuring that our data pipelines are robust, accurate, and actionable.

Requirements

• Education: BSME (Bachelor of Science in Mechanical Engineering).
• Experience: Proven experience in full vehicle testing, development, and releasing.
• Technical Proficiency:
• Deep understanding of Vehicle CAN Bus broadcast and diagnostic signals.
• Advanced experience with Big Data platforms (e.g., Snowflake, Databricks, Palantir-Foundry, Power BI).
• Proficiency in data manipulation languages (SQL, JSON).
• Hands-on experience with industry-standard tools such as ETAS INCA, VehicleSpy, and Aptiv.
• Skills: Strong project management and test engineering capabilities.

Nice To Haves

• Education: MSME (Master of Science in Mechanical Engineering).
• Certifications: Six Sigma and/or formal Root Cause Analysis certification.

Responsibilities

• Data Strategy & Policy: Develop and institute corporate standard protocols for on-board calculations (synthetic channels, histograms, event counts, and triggered time-series data).
• Pipeline Development: Lead the validation of over-the-air (OTA) big data, including infrastructure standards, data cleaning/scrubbing, aggregation routines, and the development of advanced dashboards for visualization.
• Engineering Insights: Utilize large-scale customer usage data to optimize test schedule development and provide actionable insights for ADAS L1/L2 feature refinement.
• Issue Resolution: Support the root-cause analysis of customer issues for ICE, PHEV, and BEV platforms by validating engine, battery, thermal, and trip telemetry.
• Cross-Functional Collaboration: Partner with the Connected Vehicle App development team to enhance data collection capabilities, user interfaces, and output standards.
• Mentorship: Train and guide engineering peers on vehicle policy creation, signal output, and advanced big data query/analysis techniques.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level