Physical Design Engineer
NVIDIA
Physical Design Engineer
NVIDIA
Designs the chips and software that power AI
NVIDIA is looking for best-in-class Physical Design Engineers 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'll be doing:
Physical design of blocks 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.
What we need to see:
B.SC./ M.SC. in Electrical Engineering/Computer Engineering or equivalent experience.
1+ years of relevant experience.
Proven experience in RTL2GDS flows and methodologies.
Knowledge in physical design flows and methodologies (PNR, STA, physical verification).
Deep understanding of all aspects of Physical construction and Integration.
Knowledge in Physical Design Verification methodology LVS/DRC.
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!
NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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