Physical Design Power Optimization and Modeling Engineer
Overview
- Added in 30 days
- 647
- At this company, still open
Skills named in this posting
- STA
- Place and route
NVIDIA is looking for best-in-class Physical Design Power Engineer to join our outstanding Networking Silicon Power engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput, lowest latency and best Power! 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:
• Power Optimization of Physical design, of blocks/top-level/fc under challenging constraints.
• Optimization involves all aspects of physical design chip development (RTL2GDS) - synthesis, power and clock distribution, place and route, timing closure, power and noise fixes.
• Power estimation and power modeling.
What we need to see:
• B.SC./ M.SC. or equivalent experience in Electrical Engineering/Computer Engineering.
• 1+ years of experience in physical design and/or BE power optimization aspects.
• Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.).
• Native ability to leverage modern AI tools to accelerate engineering workflows, productivity, and problem-solving.
• Knowledge in physical design flows and methodologies (PNR, STA, physical verification) is an advantage.
• FE design experience is an advantage.
• Excellent problem-solving, partnership, and interpersonal skills.
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!
Apply on the employer's site
Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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