Engineer, Design Verification Methodology, AI/ML, Flows

Google Inc.; Bengaluru; On-site; INR 15,00,000 - 25,00,000; Full time

Job summary

A leading tech company in Bengaluru is seeking an experienced professional for a Design Verification role focused on integrating machine learning into verification processes. The successful candidate will have extensive experience in design verification, proficiency in Python, and a strong background in AI/ML frameworks. This role involves enhancing verification flows and collaborating closely with developers to advance hardware solutions.

Benefits

Equal opportunity employer

Access to cutting-edge technologies

Collaborative work environment

Qualifications

• 8 years of experience in Design Verification (DV).
• Excellent programming skills in Python.
• Understanding of modern verification methodologies.

Responsibilities

• Integrate Machine Learning into existing verification flows.
• Research and deploy new verification tools.
• Work closely with AI/ML algorithm developers.

Skills

Design Verification

HDL (Verilog/SystemVerilog)

Python

Machine Learning

AI/ML frameworks

Education

Bachelor's degree in Electrical Engineering, Computer Engineering, or Computer Science

Master's degree or PhD in relevant field

Tools

TensorFlow

PyTorch

ONNX

Job description

Apply

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
  
• 8 years of experience in Design Verification (DV).
• Experience in developing and deploying state of the art verification methodologies.
• Experience in any one of the hardware description languages (HDL) (e.g. Verilog/SystemVerilog).
• Experience with Python for scripting, automation, and data analysis in a verification context.

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
  
• Experience with AI/ML frameworks and tools such as TensorFlow, PyTorch, or ONNX, particularly in how they relate to hardware implementation and verification.
• Understanding of modern verification methodologies (e.g., UVM, Specman, Formal Verification).
• Understanding of AI/ML fundamentals, including various neural network architectures (CNNs, RNNs, Transformers), ML algorithms, and concepts like training, inference, quantization, and activation functions.
• Excellent programming skills in Python.

About the job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Responsibilities

• Integrate Machine Learning (ML) techniques into existing verification flows to improve efficiency, coverage, and debug capabilities. This could involve using ML for intelligent test case generation, bug prediction, or coverage analysis.
• Research, evaluate, and deploy new commercial and open-source verification tools, with a particular focus on those that support or enhance the verification of AI/ML designs.
• Work closely with AI/MLalgorithm developers and architects to understand model behavior, data dependencies, and potential verification challenges, ensure effective integration into the verification environment.
• Identify opportunities to automate aspects of AI/ML verification, reduce manual effort and accelerate verification cycles.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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