Senior Processor Physical Design Engineer

NVIDIA•Durham, NC

About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for over 25 years, driven by innovation and its people. The company is now leveraging the potential of AI to define the next era of computing, where GPUs act as the brains for computers, robots, and self-driving cars. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing, with GPU deep learning igniting modern AI. NVIDIA is a 'learning machine' that constantly evolves by adapting to new, challenging opportunities. This role is for a motivated Senior Processor Physical Design Engineer to join a dynamic and growing team, contributing to NVIDIA's mission to amplify human inventiveness and intelligence.

Requirements

BS (or equivalent experience) in Electrical or Computer Engineering with 5+ years experience or MS (or equivalent experience) with 2+ years’ experience in Synthesis and Timing
Hands on experience in building Synthesis recipe for best QOR with good correlation to P&R
Hands-on experience in full-chip/sub-chip Static Timing Analysis (STA) and timing convergence, timing constraints generation and management.
Expertise in analysis and timing closure through ECOs including crosstalk and noise analysis
Expertise in physical design and optimization e.g., placement, routing, logic restructuring, etc. to improve timing and power.
Expertise and in-depth knowledge of industry standard STA and timing convergence tools.
Knowledge of deep sub-micron process nodes and hands-on experience in modeling and converging timing in these nodes.

Nice To Haves

Background in logic synthesis and equivalence checking/FV.
Background in domain specific STA and timing convergence, such as GPUs, CPUs, LPUs, Accelerators or SOCs
Understanding DFT logic and experience with DFT timing closure for various modes e.g., scan, BIST, etc.
Experience in methodology and/or flow development as well as automation using AI/LLM.

Responsibilities

Drive Physical Design Implementation for Nvidia’s GPUs, CPUs, and LPUs at block level, cluster level, and full chip level.
Lead Timing closure and PPA convergence of complex IPs by analyzing RTL/Design, evaluating critical datapaths, and developing and implementing innovative solutions to improve QoR and adopting AI/Automation.
Collaborate with Cross-Functional Teams to synthesize and optimize designs, devise timing closure strategies, create timing constraints, and drive timing, area, and power convergence