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Software Engineer Manager, Embedded Systems/Firmware

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Summary

Engineering manager leading firmware and system-software development for Google's custom silicon across data center infrastructure: driving architecture, partnering with silicon/platform teams, setting engineering standards, and mentoring engineers. Requires deep embedded/firmware experience plus technical and people leadership.

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.

Shape the future of data center infrastructure by defining how next-generation custom silicon interacts with our massive-scale software ecosystem. As part of our Custom Features team, you will unlock specialized hardware accelerators. If you are passionate about bare-metal development and building reliable hardware-software interfaces, join us to power the core platforms of tomorrow.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.
  • Drive the end-to-end technical goal, design, and scalable architecture for custom firmware and system software features across custom silicon platforms.
  • Partner closely with Silicon Architecture, Validation, System Software, and Server Platform teams to define requirements and deliver integrated, production-ready solutions.
  • Guide complex architectural trade-offs to optimize system performance, power efficiency, hardware telemetry, and software agility.
  • Establish engineering standards, testing strategies, and execution plans to deliver milestone commitments throughout bring-up and production deployment cycles.
  • Mentor and grow an engineering team while cultivating a highly collaborative and psychologically safe environment.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 3 years of experience with embedded operating systems.
  • 3 years of experience in a technical leadership role.
  • 2 years of experience in a people management or team leadership role.
  • Experience with firmware or software development.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, or related technical field.
  • 3 years of experience working in a complex, matrixed organization.
  • Experience with ARM, Infrastructure, Google Cloud, and Servers.

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