About the job
SummaryBy Outscal
About the job
What You Will Be Doing
- Partnering closely with physical design and timing closure designers to understand and optimize hardware design performance and engineering productivity in a broad range of domains across RTL analysis, floorplanning, clocking, constraints, timing and power optimization, and final signoff.
- Inventing high performance C++ and Python software that can automatically pinpoint VLSI concerns and opportunities early in the physical design process and integrating it with flexible automation to maximize designer efficiency.
- Researching and innovating scalable methods for VLSI data gathering coupled with intuitive analysis and visualization tailormade to enable NVIDIA's leading performance, power, area, schedule, and yield targets.
- In general, developing algorithms, tools, and methodologies to predict and improve performance and reliability beyond what industry standard tools can offer alone.
- Master’s Degree in Electrical Engineering, Computer Engineering, or equivalent work experience
- 5+ years of relevant work experience
- Deep understanding of backend design process, especially static timing analysis and early physical design, such as floorplanning.
- Expertise in coding -- preferably in C++ and/or Python
- Strong communication and interpersonal skills
- Mix of both software and hardware design experience.
- Experience in physical design optimization and automation algorithms.
- Experience with data visualization and GUIs is helpful.
About The Company
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
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