Senior Staff Software Engineer, High Performance Networking, Platforms Infrastructure Engineering

Google•Sunnyvale, CA

4d•$262,000 - $364,000

About The Position

Google is seeking a Senior Staff Software Engineer for its High Performance Networking team within Platforms Infrastructure Engineering. The team delivers scalable, high-performance networking solutions for Google and Google Cloud workloads and develops and sustains Google’s end-to-end RDMA stack, including core IPU components, Linux kernel and guest RDMA drivers, and acceleration technologies such as TPUDirect, TPUDirect Storage (TDS), and GPUDirect Storage (GDS). The engineer will lead the evolution of this stack and drive integration between high-performance networking layers, parallel file systems, and storage servers. The role’s technical leadership will help shape the efficiency, scalability, and performance of Google’s infrastructure for next-generation AI and machine-learning training and inference workloads. Google software engineers work on projects critical to the company and may have opportunities to move between teams and projects as business needs evolve. The position includes leading and coaching a distributed engineering team, designing scalable software and serving architectures, optimizing network transport and communication stacks, partnering on technical roadmaps, and coordinating hardware-software integration across teams.

Requirements

Bachelor’s degree or equivalent practical experience.
8 years of experience programming in C++.
5 years of experience with design and architecture, and testing and launching software products.
Experience with C, high-performance computing, remote direct memory access, storage systems, system design, and kernel drivers.

Nice To Haves

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
5 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
Experience with storage systems or machine-learning infrastructure.

Responsibilities

Lead and coach a distributed engineering team, fostering innovation and aligning cross-functional groups on goals, priorities, and deliverables.
Design and deploy scalable software and advanced serving architectures, optimizing the LLM serving stack for efficiency and reliability.
Architect performant network transport across various NICs and platforms, tuning the communication stack to accelerate HPC, RDMA, and ML workloads.
Partner with cross-organizational leaders to co-develop roadmaps bridging RDMA, storage, and AI/ML, while keeping pace with training and inference advancements.
Collaborate with hardware, software, and systems engineers to bridge communication gaps and ensure seamless hardware-software integration.
Lead the evolution of Google’s end-to-end RDMA stack and drive its integration with parallel file systems and storage servers.