Staff Software Engineer, AI/ML Infrastructure, GPUs

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures/algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects
• Experience working with GPUs.

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.

As a part of the Cloud Graphics Processing Unit (GPU) team, you will be central to AI innovation, building and maintaining an industry-leading GPU fleet and AI Platform that empowers Google Cloud's training and inference customers with unparalleled computational resources. You will be working at the intersection of hardware, software, and applied AI, managing the entire life-cycle of GPU offerings, from launching new GPU families to ensuring optimal reliability and operational excellence, while pushing the boundaries of accelerated computing to deliver the foundational infrastructure that fuels AI advancements for various, rapidly evolving customer base.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.

Responsibilities

• Drive technical roadmaps to ensure the Google Cloud GPU fleet remains industry-leading, while anticipating future needs and advancements in AI.
• Collaborate with internal and external partners to effectively execute on the mission of delivering unparalleled compute acceleration.
• Lead and drive operational excellence across the entire GPU fleet, ensuring reliability, performance, and scalability.
• Hire, grow, and mentor engineers to help build a strong and cohesive team that excels in a fast-paced environment.
• Advocate for the customer, collaborating with Google's AI customers to understand their needs and translate them into product and platform enhancements.