Customer Usage Data Connected Vehicle Engineer Technical Expert

Auburn Hills, MI - USA

Monthly Salary: Not Disclosed

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

We are seeking a highly skilled Connected Vehicle Data Technical Expert to join our Vehicle Development & Validation 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.

Key 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.

Qualifications :

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.

Preferred Qualifications

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

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

Employment Type :

Full-time

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.

Key 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.

Qualifications :

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.

Preferred Qualifications

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

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

Employment Type :

Full-time

Key Skills

Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala

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About Company

Segula Technologies

Why join SEGULA Technologies? Take part in the world of the future in an international corporation with strong growth. At SEGULA Technologies, you will work on exciting projects and shape the future in a company for whom innovation and engineering are inseparable. Subjects like 3D pr ... View more

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