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Job Details
Posted date: Oct 21, 2026
There have been 4 jobs posted with the title of Software Engineer III, Infrastructure all time at Google.There have been 4 Software Engineer III, Infrastructure jobs posted in the last month.
Location: Kirkland, WA
Level: Senior
Description
Write product or system development code.Measure Lustre performance measurements, investigating bottlenecks, and performance improvements, collaborate with teams across GCP to unlock all of Lustre's potential. Work with customers on their Lustre deployment to diagnose problems and optimize performance, and help customers profile their workload, and tune it for GCP. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Develop Lustre features that integrate with GCP technologies, enabling customers to bring their AI/ML workloads to GCP, collaborate with partner teams like GKE, GCS, Vertex AI, GCE, etc. to optimize the GCP stack end-to-end.
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 optimize Lustre on Google Cloud Platform (GCP) and enable AI/ML customers to bring more of their training and inferencing workloads to GCP, Generative AI, and AI/ML in general, has seen a massive explosion in adoption and application. As a part of this role, you will work with Lustre, a leading parallel file system designed to scale to petabytes of data and deliver massive storage performance to thousands of GPUs for Large Language Model (LLM) training workloads that require high-throughput, low-latency access to large datasets.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Qualifications
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. 2 years of experience with open source or developer technologies. 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting. Experience with performance analysis and computer architecture.Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 year of experience in linux kernel programming. Experience with Lustre Parallel File Systems. Storage Performance investigations and tuning experience. Strong programming ability in one or more languages C; solid understanding of general data structures, and algorithms.