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Google

Junior Emulation Engineer, University Graduate, Google Cloud

Google

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

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Role Highlights

Languages used

C++
Perl
TCL
Python

Key skills

Integrations
Electrical Engineering
SOC
Scripting
Infrastructure
Reliability
Cloud
Data
Operations
Research

Tools, Libraries and Frameworks

Vertex AI
GCP
IOS

Description

The role involves planning and executing the verification of digital design blocks by interpreting specifications and collaborating with design engineers. Responsibilities include developing, executing, and debugging system on a chip tests on emulation platforms. The individual will define and implement coverage measures to capture stimulus and corner-case scenarios. Furthermore, the role requires working with software and post-silicon validation teams to reproduce failures. The position also entails driving coverage analysis to identify verification gaps and exploring new verification and emulation methodologies.

Required Qualifications and Skills

The role requires a Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field, though equivalent practical experience is accepted. Candidates must possess experience with coding and scripting in languages such as C, C++, Perl, TCL, or Python. A Master's degree in Electrical Engineering or a related field is listed as a preferred qualification. Additionally, the candidate should have experience completing work as directed and collaborating within a team environment.

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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