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Google

Staff Software Engineer, Google Beam

Google

Published 14 May 2026
Mountain View, CA, USA
207K - 300K USD Annual
Remote
Full Time
27500 - 275000 people

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Role Highlights

Languages used

C++
Java
Python
Kotlin
GO

Key skills

AI
NLP
Information Retrieval
Computer Science
Software Design
Data Structures
System Design
Technical Leadership
Full Stack
Testing
Architecture
PhD
Search
Storage
Security
UI
Audio

Tools, Libraries and Frameworks

Mountain View

Description

The role involves providing technical leadership on high-impact projects while influencing and coaching a distributed team of engineers. The engineer will facilitate alignment across teams regarding goals, outcomes, and timelines. Responsibilities include managing project priorities, deadlines, and deliverables. The individual will design, develop, test, deploy, maintain, and enhance large-scale software solutions. This position contributes to the development of communication technology that utilizes three-dimensional imaging and spatial audio.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. The role requires eight years of programming experience in C++, Java, Python, Kotlin, or Go, along with five years of experience in testing and launching software products. Additionally, three years of experience in software design and architecture is necessary. Preferred qualifications include a Master's degree or PhD in a technical field, eight years of experience with data structures and algorithms, and three years of experience in technical leadership and matrixed organizations.

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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