Lead a team of software engineers focused on AI/ML infrastructure and performance engineering, driving technical leadership, project delivery, and cross‑team collaboration across Google’s global ML stack.
Responsibilities
Learn and build an intuitive understanding of existing data collection, analysis, and visualization workflows with deep introspection across Frameworks, Accelerated Linear Algebra (XLA) and runtime stack.
Support new and exciting ML paradigms (such as horizontal scaling for upcoming TPU chips) by making contributions across the end to end stack and analysis tools.
Partner with ML Stack leads to understand model optimization use cases and bring debugging to feel native in 3P environments (VSCode, Cursor, Grafana, etc.).
Work with OSS ML inference frameworks such as vLLM, SGLang to provide insights in Xprof about performance improvement opportunities.
Partner with other teams that own various parts of the ML stack to understand performance optimization use cases.
Requirements
Bachelor's degree or equivalent practical experience
Support the planning, design, coordination, and delivery of fiber optic pathway and passive connectivity infrastructure for high‑tech, mission‑critical, and technology‑intensive clients and facilities.
Locations (2)
Chicago, Illinois, United States
United States
Responsibilities
Plan, design, coordinate, and deliver fiber optic pathway and passive connectivity infrastructure
Support design and coordination of inside plant pathways, fiber optic cabling, telecommunications spaces, racks and cabinets, fiber distribution and termination systems
