Lead the evolution of Google's end-to-end RDMA stack within the High Performance Networking (HPN) team, driving the integration of high-performance networking layers with Parallel File Systems (PFS) and storage servers to shape the efficiency and scalability of Google's hyperscaler platform for next-generation AI/ML training and inference workloads.
Lead and coach a distributed engineering team, fostering innovation while 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, staying ahead of training and inference advancements.
Collaborate with hardware, software, and systems engineers to bridge communication gaps and ensure seamless hardware-software integration.
Software Engineer, Video SWEMeta · Sunnyvale, US+3 more