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Google

Senior Software Engineer, Google EDACloud

Google

Published 16 May 2026
Haifa, Israel
Remote
27500 - 275000 people

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Role Highlights

Languages used

GO

Key skills

AI
NLP
Information Retrieval
Machine Learning
Computer Science
Software Design
Data Management
System Design
Technical Leadership
Full Stack
Testing
Architecture
PhD
Search
Storage
Security
UI
Automation
Cloud
Backend
Deployment
Infrastructure
Reliability

Tools, Libraries and Frameworks

GCP
RPC

Description

The role involves developing and managing software for deploying industry-standard Electronic Design Automation tools on Google Cloud. Engineers focus on creating automation and back-end Remote Procedure Call services to facilitate seamless tool deployment. The position requires designing and implementing scalable platforms to run hardware engineering workloads. Additionally, the work includes developing cloud-based solutions to scale workflows and generating insights for users through machine learning techniques. The engineer will collaborate with hardware teams to evaluate architectures that ensure performance and reliability for large-scale data management.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree or equivalent practical experience. The role requires at least 5 years of experience in software development, 3 years in testing, maintaining, or launching software products, and 1 year in software design and architecture. Proficiency in English is required for all roles. Preferred qualifications include a Master's degree or PhD in a technical field, experience in technical leadership, and familiarity with EDA tools or chip design.

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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