We are looking for a highly qualified chip design engineer with a strong background in ASIC design to join our Chip Design Methodologies & Shared Code team. This team is responsible for developing best in class design methodologies, actively seeking for the best methods to develop design, 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 a great opportunity to think innovatively and make a significant impact within a dynamic, technology-focused organization.
What you'll be doing
As a Principal ASIC Design Methodologies Engineer, you will:
Develop and implement groundbreaking ASIC design methodologies that ensure flawless execution.
Drive exploration and adoption of next-generation tools, techniques, and workflows to meet the evolving demands of advanced semiconductor design.
Lead strategic initiatives aimed at redefining design practices, bringing cutting-edge methodologies to the forefront of the organization.
Collaborate with cross-functional teams to drive ambitious projects from concept to completion.
Influence and mentor other engineers, encouraging a culture of excellence and continuous improvement.
Ensure that the networking chip design team operates with maximum efficiency and the highest possible quality
What we need to see
A BSc degree in Electrical Engineering or Computer Science
Strong technical skills with 15+ years of hands-on pre-silicon design and methodologies
Passion for innovation and a desire to bring new ideas to fruition.
Outstanding ability to drive projects and lead cross-functional teams.
Strong interpersonal skills
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.”
