NVIDIA is looking for best-in-class Physical Design Team lead to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.
What you will be doing:
Leading and mentoring Physical Design-Backend team.
Physical design of blocks/top-level according to specifications under challenging constraints targeting for the best power, area, and performance.
Be exposed and work on a variety of challenging designs (including high cell count and HS blocks). Resolving complex timing and congestion problems.
Daily work involves all aspects of physical design chip development (RTL2GDS) - synthesis, power and clock distribution, place and route, timing closure, power and noise analysis, and physical verification.
Taking part inflows development.
Take part in project definition towards POR, close interaction with other domains such as FE, ARCH.
What we need to see:
B.SC./ M.SC. or equivalent experience in Electrical Engineering/Computer Engineering.
2+ years of managerial experience.
6+ overall years of experience in physical design.
Proven experience in RTL2GDS flows and methodologies.
Knowledge in physical design flows and methodologies (PNR, STA, physical verification).
Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.).
Great teammate.
NVIDIA has some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!
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.”
