Software Engineer III, Infrastructure

About the role

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.

ABOUT THE JOB:

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

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• 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.