About this role
Lead the design and architecture of scalable, fault-tolerant AI-native agentic systems to reduce developer toil. Define technical strategies for AI quality, safety, and automated evaluation frameworks while mentoring engineering teams.
Requires a Bachelor's degree and at least 5 years of experience in Python or C++, with specific expertise in ML infrastructure and core ML domains. Preferred candidates hold a Master's or PhD and have a proven track record of deploying enterprise-grade LLM applications.
What they're looking for
PythonC++Machine Learning InfrastructureDistributed Systems ArchitectureLarge Language ModelsRAG SystemsAgentic SystemsSoftware Design
Frequently asked questions
What does a Senior Software Engineer, Acceleration Platform at Google do?
Lead the design and architecture of scalable, fault-tolerant AI-native agentic systems to reduce developer toil. Define technical strategies for AI quality, safety, and automated evaluation frameworks while mentoring engineering teams. Requires a Bachelor's degree and at least 5 years of experience …
What skills does this Senior Software Engineer, Acceleration Platform role need?
Key skills for this role include Python, C++, Machine Learning Infrastructure, Distributed Systems Architecture, Large Language Models, RAG Systems.
How much does a Senior Software Engineer, Acceleration Platform at Google pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Senior Software Engineer, Acceleration Platform role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Senior Software Engineer, Acceleration Platform role?
You can apply directly on Google's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.