All projects
Automotive / engineering

Making vehicle control software more testable and dependable.

Software-level verification, test design, analysis, automation, and mentoring across VCU/ECU components and HIL environments.

VCU / ECUCANoevTESTstudioSystemWeaver
ProjectVehicle software verification
RoleSenior testing engineer / test lead
Timeline2022–2026
StatusVolvo Cars and Zeekr engagements
Automotive / engineeringVCU / ECUVERIFICATIONINPUTSOUTPUTS03
01 / Overview

What this work was about

My automotive work connects requirements, test design, execution, evidence, and root-cause investigation. At Volvo Cars, I have worked with VCU component-level verification. At Zeekr, my HIL assignment covered steering, brakes, and propulsion-related domains.

02 / Challenge

The problem to solve

Modern vehicle software has many interacting conditions, services, and signals. The difficult part is not simply running a test—it is building reproducible test methods, maintaining traceability, recognizing failures early, and getting clear evidence to engineering teams.

03 / Approach

How I approached it

  • Created and maintained test cases using SystemWeaver / CarWeaver and implemented automated executions in vTESTstudio and CANoe.
  • Used simulated conditions and mocked service interactions to verify component behavior across specific scenarios.
  • Worked with HIL rigs and test benches; assessed nightly runs, analyzed signals, traces, and logs, and reported issues.
  • Created documentation, visual onboarding guides, and test utilities to support other engineers and speed up adoption.
  • Supported test coordination and mentoring for fellow testers across different vehicle programs.
04 / Outcomes

The value and the result

2Automotive manufacturers
2 weeksDocumented onboarding target
Public case-study summary only. Client-specific test assets, internal architectures, proprietary code, measurements, and confidential programs are intentionally omitted.
05 / Perspective

What it taught me

High-quality verification is a connected practice: traceable intent, controlled conditions, repeatable automation, evidence-based analysis, and useful communication.

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