Senior Verification Engineer - GPU Fullchip

Posted 9 Hours Ago
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Bengaluru, Bengaluru Urban, Karnataka
Mid level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior Verification Engineer will verify GPU designs, architectures, and implementations. Responsibilities include developing reusable models, defining verification scopes, and working with related teams to ensure design correctness using advanced verification methodologies.
Summary Generated by Built In

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.Tech./ M.Tech or equivalent experience with 4+ years of relevant experience

  • Proficiency in Verilog and C

  • Familiarity with OOPs concepts

  • Hands-on experience in verification at Unit/Sub-system/SOC level

  • Good understanding of computer architecture concepts

  • Strong technical fundamentals with superior analytical skills and problem-solving skills

  • Knowledge of SystemVerilog or similar HVL is highly desirable

  • Experience in verification methodologies like UVM/VMM is highly desirable

  • Exposure to industry standard verification tools for simulation and debug

Ways to stand out from the crowd:

  • Prior experience in 3D graphics processing or processor verification

  • C/C++ programming language experience

  • Experience in scripting and tool development using Perl and Python

  • Excellent debugging skills

  • Good interpersonal and communication skills & dream to work as a great teammate

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-Hybrid 

Top Skills

C
Systemverilog
Verilog
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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