About the job
Engineering Manager, AI/ML Networking. You will manage and lead the team developing next-generation Artificial Intelligence (AI) and Machine Learning (ML) Networking solutions as well as Smart Network Interface Cards (NICs) at Google, taking projects through development into production. You will work at the hardware-software interface, influencing co-design of Google software and hardware, and focus on offload technologies including AI Training and Inference Transport Layers and dataplane encryption.
Responsibilities
Set and communicate team priorities that support the broader organization's goals.
Manage and lead the team that is developing the next generation Artificial Intelligence (AI) and Machine Learning (ML) Networking solutions as well as Smart Network Interface Cards (NICs) at Google, taking the projects through development into production.
Enable the team to advance new approaches to leverage offloads efficiently with Google hardware and software.
Guide the team to build and test software in C++ for use on Google's Machine Learning (ML) Library solutions and Smart Network Interface Cards (NICs).
Align strategy, processes, and decision-making across teams.
Qualifications
Minimum
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 developing software applications using the C++ programming language.
Preferred
Master's degree or PhD in Computer Science or a related technical field.
3 years of experience working in a complex, matrixed organization.
Experience with Nvidia Collective Communications Library (NCCL), Nvidia Index Library (NIXL), Deep Learning Execution Provider (DeepEP), and Mooncake.