We are looking for an experienced engineer with a strong background in ASIC design to join our Chip Design Methodologies & Shared Code team. This team is responsible for establishing design methodologies, developing shared code, providing design guidance, and driving the adoption of new technologies. It plays a key role in ensuring chip design teams operate efficiently and adhere to best practices. This role offers an exciting opportunity to think innovatively and make a significant impact within a dynamic, technology-focused organization.
What You'll Be Doing:
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Develop shared design code and solutions to be widely used by the chip design team
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Develop groundbreaking methodologies and innovations to create flawless experience for chip design engineers
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Collaborate with chip design peers and stakeholders across the teams to understand existing problems and form the best solutions and methodologies
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Collaborate with design automation team to provide end-to-end solutions that combine design, 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 development process
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Develop training sessions
What We Need to See:
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A BSc degree in Electrical Engineering or Computer Science
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5+ years hands-on pre silicon design experience
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Strong interpersonal skills and ability & desire to innovate
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Exposure to design and verification tools
Ways To Stand Out from The Crowd:
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Wide system level understanding of the chip design flows and understanding of simulation tools
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Strong interpersonal skills
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Passion for innovation, quality, efficiency and flows automation
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Extensive CDC or Power experience
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have 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 chip design team and help us developing great products by bringing innovation and raising the efficiency and the quality standard in the team.
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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.”
