Senior Staff Software Engineer, AI/ML Platform, GPUs (Mandarin, English)

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with design and architecture; and testing/launching software products.
• Ability to communicate in Mandarin and English fluently to partner with local clients and regional partners.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• Experience with Cloud Services or GPUs.

About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

The Cloud Graphics Processing Unit (GPU) team is central to Artificial Intelligence (AI) innovation, dedicated to building and maintaining an industry-leading GPU fleet and AI Platform. The team mission is to empower Google Cloud's training and inference customers by providing computational resources. The team is responsible for the entire lifecycle of GPU offerings within Google Cloud, from the initial launch of new GPU families to ensuring their optimal reliability and operational excellence for AI workloads. The team collaborates with internal and external partners to deliver the foundational infrastructure that promote advancements in artificial intelligence across industries.

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

• Execute technical roadmaps for the GPU ecosystem, anticipating market shifts to keep Google Cloud up-to-date in Artificial Intelligence (AI) infrastructure.
• Collaborate with engineering teams to integrate new GPU architectures into Google Compute Engine (GCE) for workload availability.
• Design software solutions meeting the scalability and performance requirements of Google Cloud’s global network. Author and review technical specifications to ensure architectural consistency, code quality, and platform maintainability.
• Oversee the lifecycle of accelerator solutions, with working on performance and stability for user applications.
• Triage production issues and drive root-cause analysis to implement fixes that enhance system resilience. Serve as a technical advocate during issues, collaborate with customers to resolve tests and translate their feedback into platform enhancements.