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General Motors is seeking a highly motivated Staff Software Quality Lead to join their Data Engineering organization. This hybrid role involves defining and executing software test strategies for end-to-end data pipelines, mentoring team members, and ensuring compliance with safety standards. The ideal candidate will have a strong background in embedded software and testing principles, along with excellent collaboration skills.
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three days per week, at minimum.
The Role
The Data Engineering organization at General Motors is at the forefront of innovation, leveraging data to drive the future of mobility. We are seeking a highly motivated and detail-oriented Staff Software Quality Lead to join our team. In this role, you will be responsible for defining and executing a comprehensive software test strategy that validates the functionality of our end-to-end data pipelines across many different vehicle controllers. This role requires a strong understanding of embedded software, software development principles, vehicle architectures, communication protocols, testing principles, and test automation, along with excellent collaboration skills to work effectively with diverse engineering teams.
What you will do
Test Planning & Strategy: Design, develop, and own a comprehensive test strategy for data and control plane software, systems, and related features. Lead the development and execution of test plans ensuring alignment with project goals and timelines.
Mentorship: Provide guidance, training, and mentorship to team members, identify skills gaps, foster a culture of continuous learning and improvement within the testing team, and introduce advanced testing methodologies and tools.
Enhance Capability: Utilize automated testing tools and frameworks to implement strategies and enhance testing efficiency and coverage.
Vehicle Testing: Conduct and coordinate comprehensive functional, performance, and exposure testing on vehicles to validate system performance, build documentation of results to verify compliance with given requirements.
Data Analysis & Reporting: Utilize advanced data analysis techniques to define metrics, interpret test results, identify trends, and provide actionable insights to engineering teams and stakeholders.
Documentation: Prepare detailed test reports and documentation to communicate findings and recommendations to stakeholders.
Compliance & Safety: Ensure all testing activities adhere to safety standards and regulatory requirements, maintaining a focus on quality and risk management.
Cross-Functional Collaboration: Work closely with cross-functional teams, including design, engineering, and product management, to understand requirements and deliver high-quality vehicle systems.