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Google

Software Engineer, Acceleration Platform

Google

Published 16 May 2026
Singapore
Full Time
27500 - 275000 people

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Role Highlights

Languages used

Python
C++

Key skills

AI
NLP
Reinforcement Learning
Prompt Engineering
Information Retrieval
Computer Vision
Computer Science
Distributed Systems
Data Processing
Data Structures
System Design
AI Engineer
Full Stack
LLMs
Generative AI
Machine Learning
Audio
Infrastructure
Inference
Deployment
Optimization
Debugging
PhD
Architecture
Search
Storage
Security
UI
RAG
Testing

Tools, Libraries and Frameworks

Core ML

Description

The role involves designing and implementing AI-native agentic systems to eliminate developer toil on a global scale. Engineers will lead technical initiatives to build scalable and resilient frameworks for self-sustaining AI. Responsibilities include designing, developing, testing, and maintaining software solutions while managing project priorities and deliverables. The position requires building systems where AI agents reason, plan, and execute complex workflows to address engineering problems. Additionally, the role focuses on creating evaluation pipelines to measure AI performance and ensure secure agent behavior.

Required Qualifications and Skills

Candidates must possess a Bachelor’s degree or equivalent practical experience. The role requires at least two years of experience in software programming using Python or C++. Additionally, applicants need one year of experience in a core machine learning domain and one year of experience with machine learning infrastructure. A Master’s degree or PhD in Computer Science or a related field is preferred.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Google

Size

275773

Website

goo.gle

HQ

Mountain View, US

Public/Private

Public Company

Description

At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.

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