Software Engineering Manager, Pixel Hearables, AI Test
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Minimum qualifications:
- Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent practical experience.
- 8 years of experience in software development, test engineering, or hardware-software integration.
- 3 years of experience in a technical leadership role.
- 2 years of experience in a people management or team leadership role.
- Experience integrating generative AI tools or LLM interfaces into workflows.
Preferred qualifications:
- Master's degree or PhD in Computer Science, Electrical Engineering, Robotics, or a related technical field.
- Experience building engineering workflows with multi-agent systems, autonomous triage, or synthetic test generation.
- Experience with robotics, automated test fixtures, computer vision, acoustic measurement, or Hardware-in-the-Loop (HIL) testing.
- Experience with consumer electronics, embedded systems, Bluetooth/BLE protocols, or audio/DSP architectures.
- Proficiency in Python, C++, Go, or embedded programming environments.
About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.
Responsibilities
- Build, mentor, and lead an engineering team driving modernized quality practices and test architectures.
- Architect and deploy agentic AI systems for autonomous test generation, synthetic edge-case modeling, and root-cause analysis.
- Drive physical AI and smart lab automation strategies using robotics, computer vision, and acoustic testbeds.
- Oversee end-to-end verification, system validation, and hardware-in-the-loop (HIL) infrastructure across product lifecycles.
- Partner with cross-functional Hardware, Silicon, Firmware, and OS teams to establish unified validation standards.
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