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

Google Inc.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A leading global technology company is seeking a Staff Software Engineer to enhance their AI/ML platform focused on GPU architecture. The role demands fluency in Mandarin and English, where you will design solutions for the Google Cloud platform, collaborate with engineering teams, and maintain GPU offerings to ensure reliability. Candidates should have significant experience in software development, testing, and architecture. This position is based in Singapore and candidates must have the right to work there.

Qualifications

• 8+ years of experience in software development.
• 5+ years in testing and launching software products.
• 3+ years with software design and architecture.

Responsibilities

• Collaborate with engineering teams to design and implement new GPU architectures.
• Design software solutions for scalability and reliability.
• Maintain existing accelerator solutions by triaging production issues.

Skills

Fluent in Mandarin

Fluent in English

Software development

Software testing

Software design

Cloud Services Experience

GPU Experience

Education

Bachelor's degree or equivalent

Job description

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

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X 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.
• 8 years of experience in software development.
• 5 years of experience in testing, and launching software products.
• 3 years of experience with software design and architecture.
• Ability to communicate in Mandarin and English fluently to partner with local clients and regional partners.

Preferred qualifications:

• 8 years of experience in software engineering.
• 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 promotes 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

• Collaborate with engineering teams to design and implement support for new GPU architectures in Google Compute Engine (GCE), ensuring immediate availability for AI workloads.
• Design and implement software solutions that meet the scalability and reliability requirements of the Google Cloud platform.
• Author and review technical specifications to ensure architectural consistency and maintainability of the code base.
• Maintain the existing accelerator solutions by triaging production issues and implementing fixes that prioritize system stability.
• Serve as a technical point of contact for customers during escalations, bridging the gap between user tests and engineering solutions.

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.