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.
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
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++.
