Software Engineer Manager II, AI, TPU Infrastructure
Minimum qualifications:
- Bachelor’s degree, or equivalent practical experience.
- 8 years of experience in software development.
- 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- 3 years of experience in a technical leadership role.
- 2 years of experience in a people management or team leadership role.
Preferred qualifications:
- Master’s degree or PhD in Computer Science.
- 3 years of leadership experience in complex, and matrixed organizations.
- Experience with RTOS, bare-metal design, and host-to-firmware communication mechanisms like mailboxes and ring buffers.
- Experience in cloud or data center development, and system bring-up using C, C++, Go, or Rust.
- Experience in designing recovery strategies, fault-tolerant logic, and automated troubleshooting tools for mission-critical environments.
- Excellent design skills with the ability to debug complex hardware-software interfaces.
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.
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.
Responsibilities
- Align team priorities and decision-making with organizational goals while managing roadmaps for multiple technical teams to meet future infrastructure needs.
- Set clear role-based expectations and provide consistent coaching, feedback, and performance development for individual contributors.
- Design and vet complex system (TPU bare metal system on prem) and architectures, write product code to resolve ambiguous technical challenges across the broader platform.
- Develop large-scale AI infrastructure hardware interfaces (DMA, interrupts, registers) and middleware services to bridge high-level applications with foundational platform elements.
- Build real-time diagnostics and fault-tolerant logic while partnering with hardware and validation teams to define interfaces and drive design reviews.