Senior Application Engineer

  • by
Location
Taylor, MI
Candidate No.
1961896

About this Candidate

DAVRON CV: Candidate 1961896

AUTOMOTIVE CONTROLS & VALIDATION ENGINEER | ECU DIAGNOSTICS, CALIBRATION & LAUNCH SUPPORT

Core Expertise

  • Customer-facing technical liaison managing ECU software and calibration deliverables for multi-program vehicle launches.
  • CAN-based diagnostics and UDS expertise for in-vehicle troubleshooting and DTC root-cause analysis.
  • Python-driven log analysis and automation, reducing root-cause investigation time by approximately 60%.
  • End-to-end validation from requirements (VTS/SSTS) through DV and PV test planning and execution.
  • ECU configuration and flashing experience with ICDe/ICDM, DPS tools, and release management.

Project Background

  • Managed approximately 29 active vehicle programs, coordinating software releases, validations, and customer deliverables.
  • Provided on-site support at OEM facilities across North America for launches, diagnostics, and production readiness.
  • Authored ECRs, tracked PRTS, and resolved field defects through closure to protect program timing.
  • Implemented CAPL and Python test automation to streamline diagnostic workflows and accelerate test throughput.
  • Led Agile PI planning and user-story creation to align cross-functional teams and reduce cycle time.

Key Skills

  • CANalyzer | CANoe | CANape | Vehicle Spy | Data Miner
  • CAPL | C-style scripting | Python (.asc/.blf parsing) | CAN log analysis
  • UDS diagnostics | DTC analysis | ECU flashing (DPS) | ICDe/ICDM configuration
  • ARXML | ECU calibration delivery | Software release management | ECR/PRTS tracking
  • DV/PV testing | VTS/SSTS requirements | PPAP
  • SolidWorks | AutoCAD | Teamcenter | PTC Windchill | GD&T (ASME Y14.5-2009)

Education

  • B.S., Mechanical Engineering — University of Michigan–Dearborn

Why Interview this Candidate?

A customer-facing controls engineer with 10+ years of Tier-1 automotive experience and proven success as the primary on-site technical liaison for OEM programs. Demonstrated impact includes a ~60% reduction in root-cause analysis time through Python automation and management of roughly 29 active vehicle programs. Strong capabilities in CAN diagnostics, ECU configuration, and DV/PV validation enable immediate contribution to launch, troubleshooting, and calibration delivery.

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