Why This Role Stands Out
This hybrid role offers a fantastic opportunity to leverage your data analysis and diagnostic expertise with large-scale fleet data in a Databricks environment, driving continuous improvement in automotive systems. You'll thrive here if you have 3+ years of experience with diagnostic standards, Python, and C++, and you're eager to contribute to a reputable company's innovative engineering team. Apply today to grow your skills and make a significant impact!
Quick Overview
Job Description
Data-Driven Analysis & Validation: Leverage large-scale fleet data in Databricks to characterize faults, tune detection thresholds, validate algorithm performance (detection rate, false-positive rate), and drive continuous improvement
Skills:
3+ years of professional experience in diagnostics
Working knowledge of diagnostic standards and protocols (UDS / ISO 14229, DTC management, OBD-II / SAE J1979) and communication buses (CAN, LIN, Automotive Ethernet).
Proficiency with Python for data analysis and visualization; experience working with large-scale telemetry datasets (Databricks, or equivalent)
C++
Experience with HIL/SIL testing frameworks for diagnostic validation.
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