Software Engineering Manager, High Performance Networking

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.

Join Google’s High Performance Networking (HPN) team to power the future of AI. As an Engineering Manager for the Remote Direct Memory Access (RDMA) Platforms team, you will lead a specialized group of systems and networking engineers building the infrastructure behind Google’s largest AI/ML training clusters, TPUs, GPUs, and Cloud HPC platforms. You will own the end-to-end RDMA stack, architecting next-generation SmartNIC and IPU software solutions from early silicon to global production. If you are passionate about Linux Networking, RDMA and hardware bringup, and mentoring engineering talent to optimize the world's most demanding machine learning and HPC workloads, we want you to lead our team.

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 . Responsibilities

• Design, architect, and implement high-performance, reliable network communication transports across multiple generations of SmartNICs and hardware platforms to support demanding HPC and ML workloads.

• Profile, tune, and optimize network performance end-to-end—from bare-metal hardware up to the application layer—and scale these solutions across business-critical production workloads.

• Partner with cross-functional engineering teams to drive technical alignment, foster a culture of shared innovation, and deliver seamless system integrations.

• Lead, mentor, and scale a high-performing engineering team, advocating career growth and fostering a positive culture where technical perspectives thrive.

• Define and drive the mid-to-long-term technical roadmap for your team, translating high-level business objectives into clear execution plans while balancing technical debt with product velocity.

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.

• Experience with Remote Direct Memory Access and C++.

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 TCP/IP, Virtualization, Network Virtualization, Cloud Networking, Hardware Architecture