Senior Software Engineer, Cloud ML Compute Services (Mandarin, English) - Singapore

Product area

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Job description

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.

Qualifications

Job responsibilities

• Measure and optimize AI/ML model performance on Google Cloud. Identify and resolve performance bottlenecks, ensuring the infrastructure operates at peak capacity.
• Conduct performance profiling, debugging, and troubleshooting of AI/ML training and inference workloads.
• Shape the future of the AI/ML infrastructure by identifying gaps in the existing products and recommending enhancements.
• Partner with cross-functional teams to ensure the AI/ML infrastructure delivers exceptional value and drives success for the customers.
• Stay current with Artificial Intelligence and Machine Learning technologies and contribute insights to foster team growth.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Ability to communicate in Mandarin and English fluently to partner with local clients and regional partners.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical field.
• 1 year of experience in a technical leadership role and ability to collaborate with cross-functional teams.
• Experience with Generative AI, Large Language Models (LLM), or Machine Learning infrastructure, including model deployment, performance optimization, profiling, and debugging.
• Experience with distributed computing leveraging GPUs or TPUs.
• Experience with cloud services in the areas of Compute, Storage, or Networking.
• Ability to grow in a fluid environment where AI technologies are constantly developing.