We are now looking for a Chip Design Verification Engineer. NVIDIA is seeking a verification engineer to join the chip design methodologies team. The team is in charge of the verification methodologies, shared code, training, and embracing new technologies. One of our main goals is to make sure that the team works in an efficient manner, and provides high-quality deliveries. This position offers the opportunity to have real impact in a dynamic, technology-focused company.
What you'll be doing:
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Develop shared verification code and solutions to be widely used by the chip design team.
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Develop groundbreaking methodologies to create a flawless experience for verification engineers to keep the focus on new problems.
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Collaborate with the design automation team to provide end-to-end solutions that combine verification, simulation, and automation.
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Get in touch with EDA vendors to learn about cutting-edge tools/technology and apply them into our verification process.
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Understand the design, define the verification scope, develop the verification infrastructure and verify the correctness of the design.
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Collaborate with designers, verification specialists to accomplish your tasks.
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Develop training sessions.
What we need to see:
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A Bachelors Degree in Electrical Engineering or Computer Science.
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Exposure to design and verification tools.
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5+ years of hands-on pre-silicon verification experience.
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Strong interpersonal skills and ability & desire to innovate.
Ways to stand out from the crowd:
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Experience in Specman / System Verilog UVM.
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Understanding simulation tools.
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Experience in building test benches, evaluate coverage and debug simulation failures.
NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our networking verification team and help us developing great products by raising the efficiency and the quality standard in our chip design team.
Top Skills
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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