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 team 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.
The US base salary range for this full-time position is $262,000-$365,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about
benefits at Google.
Responsibilities
- Set team priorities aligned with broader organizational goals. Establish clear performance expectations and provide regular coaching to develop engineering talent.
- Develop long-term technical direction and road maps for ASIC software and firmware, anticipating future infrastructure and large-scale architectural needs.
- Oversee the design of low-level firmware, chip software models, and debugging tools for custom accelerators, solving complex technical problems on sound architectural footing.
- Drive technical excellence by reviewing code for accuracy, testability, and efficiency. Lead the design of the APIs, drivers, and userspace libraries for seamless hardware-software integration.
- Collaborate across the datacenter stack to build advanced simulation infrastructure. Contribute to the full hardware lifecycle, from pre-silicon modeling and initial chip bring-up to global ASIC deployment.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with software development.
- 7 years of experience working with embedded operating systems.
- 5 years of experience in a technical leadership role.
- 5 years of experience in a people management or team leadership role.
- Experience in embedded software development using C/C++, with a focus on embedded systems.
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- 5 years of experience working in a complex, matrixed organization.
- Experience architecting scalable software, utilizing multi-threaded designs, and writing firmware that is portable across generations of SoCs.
- Familiarity with one or more specialized domain technologies, including HBM, PCIe, ARM/RISC-V architectures, security and confidential computing, machine learning, or video encoding/decoding.