Staff Software Engineer, Ads Data & Measurement (AI/ML)

Google Inc.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Google Inc. in Singapore is seeking an experienced software engineer to help design, build, and operate next-generation backend systems at massive scale.

You will work across the full stack on high-throughput advertising serving, data pipelines, and privacy-preserving measurement, collaborating with teams across Google Research and DeepMind. You should have deep expertise in distributed systems, ML tooling, and experience with generative AI integrations.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++, Java, Python, or Go.
• 5 years of experience testing, and launching software products.
• 3 years of experience with software design and architecture.
• Experience designing and building large-scale back-end distributed systems or data processing pipelines.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Define and drive the multi-quarter technical strategy and architecture for high-throughput, low-latency advertising serving stacks and petabyte-scale data and measurement pipelines.
• Design, develop, test, deploy, and enhance large-scale back-end software solutions, leveraging distributed data processing and storage systems.
• Lead cross-functional technical initiatives across privacy-preserving measurement, attribution, and machine learning optimization to improve advertiser ROI.
• Influence, mentor, and coach a distributed team of engineers, elevating code health, engineering velocity, and AI-accelerated development workflows.
• Facilitate alignment and clarity across Engineering and Product Management partners across Singapore and global offices on technical goals, outcomes, and timelines.

Education

Bachelor's degree or equivalent practical experience

Tools

C++

Java

Python

Go

Job description

Google Inc. in Singapore is seeking an experienced software engineer to help design, build, and operate next-generation backend systems at massive scale.

You will work across the full stack on high-throughput advertising serving, data pipelines, and privacy-preserving measurement, collaborating with teams across Google Research and DeepMind. You should have deep expertise in distributed systems, ML tooling, and experience with generative AI integrations.