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

Google Inc.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading tech company in Singapore seeks a Senior Software Engineer to optimize AI/ML model performance and work on cloud infrastructure projects. The ideal candidate will have a Bachelor's degree, 5 years of software development experience, and fluency in Mandarin and English. Responsibilities include measuring AI model performance and collaborating with cross-functional teams. This role offers an opportunity to work on groundbreaking technology in an inclusive environment.

Benefits

Equal opportunity employer

Inclusive work culture

Qualifications

• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing and maintaining software products.
• Experience with ML infrastructure such as model deployment and evaluation.

Responsibilities

• Measure and optimize AI/ML model performance on Google Cloud.
• Conduct performance profiling, debugging, and troubleshooting of AI/ML workloads.
• Partner with cross-functional teams to deliver exceptional value.

Skills

Software development

Testing and debugging

Machine Learning infrastructure

Technical leadership

Communication in Mandarin

Cloud services

Education

Bachelor's degree or equivalent

Master's degree or PhD in Computer Science

Tools

Distributed computing systems

Cloud infrastructure tools

Job description

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

Apply

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

• 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.

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.

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.

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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.