Staff Software Quality Lead - Data Engineering

General Motors

Multiple Locations
Base: $147,000 to $196,600; bonus/equity: not spec...
Hybrid
Embedded software testing
Data pipeline validation
Test automation strategy
Define and execute a comprehensive software test strategy that validates the functionality of our end-to-end data pipelines across many different vehicle controllers

Job Summary

  • Define and execute a comprehensive software test strategy that validates the functionality of our end-to-end data pipelines across many different vehicle controllers.
  • Provide guidance, training and mentorship to team members, identify skills gaps, foster a culture of continuous learning and improvement within the testing team.
  • Utilize advanced data analysis techniques to define metrics, interpret test results, identify trends, and provide actionable insights to engineering teams and stakeholders.

Matching Summary

Define and execute a comprehensive software test strategy that validates the functionality of our end-to-end data pipelines across many different vehicle controllers.

Salary

Base: $147,000 to $196,600; Bonus/Equity: Not specified; Benefits: Healthcare, dental, vision, life insurance, pension plan, GM Vehicle Purchase Plan

Skills & Requirements

Must-have

  • Embedded software testing
  • Data pipeline validation
  • Test automation strategy
  • Automotive HIL/SIL tools
  • Vehicle communication protocols

Nice-to-have

  • Continuous learning culture
  • Cross-functional collaboration
  • Risk management focus
  • Cloud platform experience

Key Requirements

  • Bachelor’s degree in Engineering, Automotive Technology, or related field
  • 10+ years of experience in vehicle and embedded software testing
  • Experience developing and executing test strategies
  • Proven experience in testing embedded systems
  • Expert in C/C++, Java, Python for test automation
  • Proficiency using test automation tools
  • Experience with automotive HIL and SIL testing tools
  • Strong understanding of vehicle communication protocols
  • Experience with version control systems (Git)
  • Knowledge of performance analysis tools
  • Experience with API testing

Work Rights

Not specified

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