Senior Software Quality Engineer - Windows + Devices, Applied Sciences Group
Overview: In Windows + Devices, we're seeking a passionate Senior Software Quality Engineer to join Microsoft Applied Sciences Group. You will play a crucial role in ensuring the highest quality of deliverables for our next-generation Artificial Intelligence (AI) devices, built on a custom Android Open Source Project (AOSP)-based OS and AI-first hardware. This position offers a unique opportunity to explore and implement novel testing techniques at the intersection of hardware, software, and AI cloud services in both incubation and production.
You will be responsible for writing tests and ensuring the highest quality of individual components, including low-level drivers and services, AI applications, as well as the entire vertical system integration. Additionally, you will be responsible for automating testing processes for Continuous Integration (CI) and assisting in writing specifications and documentation for internal and external partner teams. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities:
- QA Leadership: Ensure the highest quality of code and deliverables across system and application engineering teams, review architecture, designs, and code to maintain the highest technical standards, and ensure the integration of diagnostic mechanisms within end-user applications, like telemetry.
- Testing and Automation: Design, develop, and execute tests for hardware subsystems, services, and AI applications. Test and validate the entire vertical system integration to ensure seamless operation across all components, from low-level hardware to user-facing UI. Automate testing processes and integrate them into continuous integration (CI) pipelines. Ensure proper integration of automated QA tools, such as static analyzers and automated security assessment tools.
- Documentation: Document APIs and technical components for sharing between internal and external partner teams.
- Factory Testing: Ensure alignment and port existing tests for use on the factory floor. Develop and refine testing methodologies through interactions with factory engineers.
- Collaboration and Mentorship: Work closely with a multidisciplinary team of AI researchers, developers, and engineers to ensure the quality of deliverables across teams. Mentor and guide team members, helping them overcome challenges and promoting best practices related to testing and security.