Software Engineer III, ML Networking

Google • Sunnyvale, CA

5d • $141,000 - $202,000

About The Position

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will learn about the Large Language Models (LLM's) and other Machine Learning (ML) workloads, and how to build the infrastructure to scale them to Graphics Processing Unit (GPUs) and trillions of parameters. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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.

Nice To Haves

• Master's degree or PhD in Computer Science or a related technical field.
• 2 years of experience with data structures and algorithms.
• Experience developing accessible technologies.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level