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Design Verification Engineer, Machine Learning, Silicon

Karnataka, India (On-site)

Design Verification Engineer, Machine Learning, Silicon

1 Month ago • 8 Years + • Research & Development • Undisclosed

About the job

4 skills required for this role

Add these skills to join the top 1% applicants for this job

prototyping

computer-vision

fpga

innovation

Job Description

Be part of a team developing custom silicon solutions for Google's products. You'll plan verification of complex digital design blocks, create and enhance verification environments using SystemVerilog and UVM (or formal verification with SVA), identify and write coverage measures, debug tests with design engineers, and close coverage gaps. Responsibilities include understanding design specifications, interacting with design engineers, and ensuring correct design blocks. This role requires expertise in digital logic verification at RTL using SystemVerilog for FPGAs and ASICs, as well as experience verifying digital IP and subsystems. The position contributes to innovation in hardware, delivering high performance and efficiency.

Must have:

8+ years verifying digital logic (RTL, SystemVerilog, FPGAs, ASICs)
Experience verifying digital IP and subsystems
SystemVerilog and UVM expertise
Coverage measure identification and writing
Debugging and collaboration with design engineers

Good to have:

Master's or PhD in EE/CS
Experience with VMM/OVM
Image processing, computer vision, or ML applications experience
FPGA prototyping and debugging
ASIC performance verification

Minimum qualifications:

Bachelor's degree in Electrical Engineering or Computer Science or equivalent practical experience.
8 years of experience verifying digital logic at RTL using System Verilog for FPGAs and ASICs.
Experience verifying digital IP and subsystems.

Preferred qualifications:

Master's degree or PhD in Electrical Engineering or Computer Science, or a related field.
6 years of experience in Electrical Engineering or Computer Science.
Experience creating/using verification components and environments in methodology (VMM, OVM, UVM).
Experience with image processing, computer vision, or machine learning applications.
Experience prototyping and debugging systems on Field Programmable Gate Array (FPGA) platforms.
Experience with performance verification of Application Specific Integrated Circuit (ASIC) components.

About the job

Be part of a diverse 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

Plan the verification of complex digital design blocks by understanding the design specification and interacting with design engineers to identify important verification scenarios.
Create and enhance constrained random verification environments using SystemVerilog and UVM, or formally verify designs with Stored Value Account (SVA) and industry leading formal tools.
Identify and write all types of coverage measures for stimulus and corner cases.
Debug tests with design engineers to deliver correct design blocks.
Close coverage measures to identify verification holes and to show progress towards tape out.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.