Senior Software Engineer, AI Infrastructure, Cloud GPU - Singapore

GOOGLE ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading technology firm in Singapore is seeking a Senior Software Engineer to drive innovation in AI infrastructure. The role involves developing next-generation technologies, collaborating across teams, and ensuring software excellence. Candidates should have a Bachelor's degree in Computer Science, along with 5 years of software development experience in multiple languages. Fluency in English and Mandarin is preferred.

Qualifications

• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products.
• 1 year of experience with software design and architecture.

Responsibilities

• Write and test product or system development code.
• Collaborate through design and code reviews.
• Contribute to existing documentation based on user feedback.
• Triage product issues and debug them.
• Design and implement solutions in specialized ML areas.

Skills

Software development

Programming languages (Python, C, C++, Java, JavaScript)

Software testing

ML infrastructure

Technical leadership

Education

Bachelor’s degree in Computer Science or equivalent practical experience

Master's degree or PhD in a related field

Job description

Job description

The Cloud GPU team is central to AI innovation, dedicated to building and maintaining an industry-leading GPU fleet and AI Platform. Our core mission is to empower Google Cloud's most sophisticated training and inference customers by providing unparalleled computational resources. We're 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.
As a Senior Software Engineer, you will develop the next-generation technologies that change how users connect, explore, and interact with information and one another. You will bring ideas from all areas, including distributed computing, large-scale system design, networking and data storage, artificial intelligence, etc.

In this role, you will focus on delivering tangible growth in the AI infrastructure space. The team works at the intersection of hardware, software, data science and applied AI, constantly pushing the boundaries of what's possible in accelerated computing. We collaborate closely with internal and external partners to deliver the foundational infrastructure that fuels advancements in artificial intelligence across industries.

Qualifications

Job responsibilities

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

Minimum qualifications

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Preferred qualifications

• Master's degree or PhD in Computer Science or a related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.
• Experience with large-scale Cloud Infrastructure.
• Ability to communicate in English and Mandarin fluently to support client management in this region.