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Google

Silicon Design Verification Engineer, TPU, Google Cloud

Google

Published 14 May 2026
Bangalore, India
Full Time
27500 - 275000 people

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Role Highlights

Languages used

SystemVerilog

Key skills

AI
Machine Learning
Computer Science
Integrations
Electrical Engineering
Control Systems
Computer Architecture
UVM
SOC
PhD
Regression
Infrastructure
Reliability
Cloud
Data
Operations
Research

Tools, Libraries and Frameworks

Vertex AI
GCP
IOS
TPU

Description

The role involves planning the verification of digital design blocks and collaborating with design engineers to identify critical verification scenarios. The individual will create constrained-random verification environments and develop measures for stimulus and corner-cases. Responsibilities include debugging tests to ensure the functional correctness of design blocks. Additionally, the role requires measuring coverage to identify verification gaps and tracking progress toward tape-out.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree in Electrical Engineering, Computer Science, or a related field. The role requires at least one year of experience in verification methodology, specifically UVM, and one year of experience in IP design verification. Proficiency in SystemVerilog, SystemVerilog Assertions, and functional coverage is necessary. A Master's degree or PhD in a relevant engineering field is preferred.

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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