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Google

Senior 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
RAG
Computer Science
Distributed Systems
Software Design
Data Processing
Data Structures
System Design
Technical Leadership
AI Engineer
Full Stack
LLMs
Generative AI
Testing
Architecture
Machine Learning
Audio
Infrastructure
Inference
Deployment
Optimization
Debugging
PhD
Security
Search
Storage
UI

Tools, Libraries and Frameworks

Core ML

Description

The role involves architecting next-generation AI-native agentic systems aimed at reducing developer toil on a global scale. The engineer will lead the design of scalable, fault-tolerant systems that utilize multi-agent networks to execute complex workflows. Responsibilities include establishing technical strategies for AI quality, safety, and automated evaluation frameworks. The position requires managing intricate non-deterministic edge cases and building telemetry tools for debugging self-sustaining behaviors. Additionally, the engineer will drive technical alignment across global organizations and provide mentorship to junior and mid-level team members.

Required Qualifications and Skills

Candidates must possess a Bachelor’s degree or equivalent practical experience. The role requires five years of experience in software programming using Python or C++, along with three years of experience in testing, maintaining, or launching software products. Applicants need three years of experience in a core machine learning domain and three years of experience with ML infrastructure. Additionally, one year of experience in software design and architecture is required.

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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