Job Description

Google is seeking software engineers to develop next-generation technologies that enhance user connectivity and information interaction. The role involves working on large-scale infrastructure and machine learning workloads, particularly focusing on optimizing GPU performance and networking in data centers.

Requirements

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Experience in networking.
Master's degree or PhD in Computer Science or a related technical field (preferred).
2 years of experience with data structures and algorithms (preferred).
Experience developing accessible technologies (preferred).

Responsibilities

Analyze the networking issues associated with the next generations of GPU hardware, and design, build, and deploy whatever is needed to make them work optimally in our data centers.
Achieve workload optimal performance NVIDIA Collective Communications Library (NCCL) + Graphics Processing Unit (GPU).
Compile a comprehensive analysis of performance across different GPU and network generations.
Determine how customers' ML models will evolve once we have 72 node-NVLink domains.
Execute full stack optimization for ML networking performance on Google's infrastructure, this spans a wide range, from kernel optimization, user space communication libraries.

Benefits

Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.