NVIDIA
Technology
VerificationEngineer-GPUFullchip
Neural analysis suggests this role is
optimal for Mid candidates.
“Verification Engineer - GPU Fullchip at NVIDIA. Skills: ASIC Verification, GPU Verification, Verilog, C. Verify design and implementation of GPUs. Responsible for verification of ASIC design”
Industry & Context.
Problem-solving skills
What They're Looking For.
Must Have
2+ years of relevant experience, Proficiency in Verilog, Proficiency in C, Hands-on experience in verification at Unit/Sub-system/SOC level, Good understanding of computer architecture concepts, Technical fundamentals, Superior analytical skills, Problem-solving skills
Nice to Have
Knowledge of SystemVerilog, Experience in verification methodologies like UVM/VMM, Prior experience in 3D graphics processing, Prior experience in processor verification, C/C++ programming language experience, Experience in scripting, Experience in tool development using Perl, Experience in tool development using Python
What You'll Do.
Verify design and implementation of GPUs
Responsible for verification of ASIC design
Responsible for verification of architecture
Responsible for verification of golden models
Responsible for verification of micro-architecture
Verify GPUs at full-chip level
Build reusable bus functional models
Build traffic generators
Understand the design and implementation
Define the verification scope
Develop the verification infrastructure
Verify the correctness of the design
Working with architects
Working with designers
Working with pre silicon verification teams
Working with post silicon verification teams
How You'll Work.
Team & Collaboration
Architects; Designers; Pre silicon verification teams; Post silicon verification teams
Communication Scope
Communication skills
Full Job Description
NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! The GPU started out as an engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. NVIDIA is increasingly known as “the AI computing company.” **What you’ll be doing:** * As a key member of our ASIC Verification team, you will verify the design and implementation of the industry's leading GPUs. * Responsible for verification of the ASIC design, architecture, golden models and micro-architecture of the GPUs and full-chip level using advanced verification tools and methodologies. * Build reusable bus functional models, traffic generators, monitors, checkers and scoreboards following coverage driven verification methodology. * You are expected to understand the design and implementation, define the verification scope, develop the verification infrastructure and verify the correctness of the design. * Working with architects, designers, and pre and post silicon verification teams to accomplish your tasks. **What we need to see:** * B.Tec
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