Design Verification Methodology Engineer, AI/ML, Flows
Design Verification Methodology Engineer, AI/ML, Flows
Job Description
Minimum qualifications: 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. Location: Bengaluru, Karnataka, India. Experience level: Mid. 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.
Locations
- Bengaluru, Karnataka, India
Salary
Estimated Salary Rangemedium confidence
45,000,000 - 90,000,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Design Verificationadvanced (Hardware Verification)
- Verification Methodologiesadvanced (Hardware Verification)
- Verilog/SystemVerilogintermediate (Hardware Description Languages)
- Pythonadvanced (Programming)
- TensorFlowintermediate (AI/ML Frameworks)
- PyTorchintermediate (AI/ML Frameworks)
- ONNXintermediate (AI/ML Frameworks)
- UVMadvanced (Verification Methodologies)
- Specmanintermediate (Verification Methodologies)
- Formal Verificationintermediate (Verification Methodologies)
Required Qualifications
- Bachelor's degree (degree in Electrical Engineering, Computer Engineering, Computer Science, or related field)
- Design Verification (experience, 8 years)
- Developing and deploying verification methodologies (experience)
- Hardware description languages (HDL) (experience)
- Python scripting, automation, and data analysis in verification (experience)
- Master's degree or PhD (degree in Electrical Engineering, Computer Engineering, Computer Science with emphasis on computer architecture)
- AI/ML frameworks and tools (experience)
- Modern verification methodologies (experience)
- AI/ML fundamentals (experience)
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/ML algorithm 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.
Benefits
- equal-opportunity: Google is proud to be an equal opportunity and affirmative action employer committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing equal employment opportunity.
- accommodations: If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
- culture: Belonging at Google and How we hire.
Tags & Categories
Design Verification Methodology Engineer, AI/ML, Flows
Design Verification Methodology Engineer, AI/ML, Flows
Job Description
Minimum qualifications: 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. Location: Bengaluru, Karnataka, India. Experience level: Mid. 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.
Locations
- Bengaluru, Karnataka, India
Salary
Estimated Salary Rangemedium confidence
45,000,000 - 90,000,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Design Verificationadvanced (Hardware Verification)
- Verification Methodologiesadvanced (Hardware Verification)
- Verilog/SystemVerilogintermediate (Hardware Description Languages)
- Pythonadvanced (Programming)
- TensorFlowintermediate (AI/ML Frameworks)
- PyTorchintermediate (AI/ML Frameworks)
- ONNXintermediate (AI/ML Frameworks)
- UVMadvanced (Verification Methodologies)
- Specmanintermediate (Verification Methodologies)
- Formal Verificationintermediate (Verification Methodologies)
Required Qualifications
- Bachelor's degree (degree in Electrical Engineering, Computer Engineering, Computer Science, or related field)
- Design Verification (experience, 8 years)
- Developing and deploying verification methodologies (experience)
- Hardware description languages (HDL) (experience)
- Python scripting, automation, and data analysis in verification (experience)
- Master's degree or PhD (degree in Electrical Engineering, Computer Engineering, Computer Science with emphasis on computer architecture)
- AI/ML frameworks and tools (experience)
- Modern verification methodologies (experience)
- AI/ML fundamentals (experience)
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/ML algorithm 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.
Benefits
- equal-opportunity: Google is proud to be an equal opportunity and affirmative action employer committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing equal employment opportunity.
- accommodations: If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
- culture: Belonging at Google and How we hire.
Tags & Categories