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Google

CAD Front-End Engineer, CPU, Google Cloud

Google

Published 16 May 2026
Haifa, Israel& Other locations
Full Time
27500 - 275000 people

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Role Highlights

Languages used

Python
TCL

Key skills

Data Analysis
Integrations
CICD
CAD
Frontend
CPU
Scripting
SOC
Infrastructure
Testing
Reliability
Cloud
Operations
Research

Tools, Libraries and Frameworks

Vertex AI
GCP

Description

The role involves designing, developing, and maintaining CAD tools and scripts to automate and streamline design tasks, verification processes, and data analysis. The individual will administer and optimize the front-end compute environment to ensure reliability, performance, and scalability. Responsibilities include providing technical support and training to design and verification teams regarding the use of CAD tools and the compute environment. The position requires identifying opportunities to enhance front-end development workflows and implementing improvements. Furthermore, the role involves collaborating with design, verification, and CAD teams to gather requirements and deliver effective solutions.

Required Qualifications and Skills

The role requires a Bachelor's degree or equivalent practical experience. Candidates must possess at least three years of experience in coding or scripting languages such as Python or TCL. Additionally, applicants need experience with front-end design, verification, and integration teams regarding tools development, maintenance, or support. Proficiency in English is required for all roles.

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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