Senior Software Engineer, Cloud GPU

About the role

The Cloud GPU team builds and maintains Google Cloud's GPU fleet and AI platform, covering the full lifecycle of GPU offerings from launch to reliability and operational excellence for AI workloads. As a Senior Software Engineer you will design and build scalable software and machine learning infrastructure, including integrating new GPUs into Google Compute Engine and scaling the existing Cloud GPU fleet. The role draws on distributed computing, large-scale system design, networking, data storage and artificial intelligence.

Key responsibilities

• Design and implement highly scalable software solutions and ML infrastructure, supporting new GPU integrations in Google Compute Engine and scaling the Cloud GPU fleet.
• Write, test and review complex product code and technical specifications, collaborating with peers through design and code reviews.
• Maintain and support existing accelerator solutions by triaging, debugging and resolving complex production issues, analysing their root causes and impact on hardware, network and service operations.
• Engage with customers to troubleshoot and resolve issues promptly.
• Contribute to technical documentation and adapt educational content based on product updates, system developments and user feedback.

Required profile

• Bachelor's degree in Computer Science or equivalent practical experience.
• 5 years of software development experience in one or more languages (e.g. Python, C, C++, Java, JavaScript).
• 3 years of experience testing, maintaining or launching software products, and 1 year in software design and architecture.
• Preferred: Master's or PhD in Computer Science or a related field; 5 years with data structures and algorithms; 1 year in a technical leadership role with mentoring experience.
• Fluent English and Mandarin to support client management in the region.
• Google prioritises applicants with a current right to work in Singapore and does not sponsor visas.

Required skills

• Preferred: experience with large-scale cloud infrastructure, cloud services or GPUs.
• Preferred: experience with data structures and algorithms.