Nvidia is hiring a
Senior CAD Flow Development Engineer
NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.
Be part of a diverse team creating NVIDIA's chip design methodology! We're responsible for the Front-End Design Implementation methodology for all of NVIDIA's semiconductor products. As part of our team, you'll design, develop and support sophisticated flows around EDA tools and our CAD programs.
What you'll be doing:
You will architect highly automated and customizable design flows using modern software engineering methodologies
Build flows for methodologies incorporating logic/physical synthesis, design planning, equivalence checking for industry-leading chip designs
Be responsible for design, implementation and testing in-house of CAD programs
Work with design teams and leading EDA vendors to evaluate the industry's most powerful design implementation and analysis tools
Provide support for ASIC tools and flows
Assist chip design teams with advanced implementation tasks
What we need to see:
BS in Electrical, Computer Engineering or equivalent experience with 3+ years of CAD experience; MS preferred
Be familiar with Verilog and ASIC design along with experience in commercial EDA tools
Knowledge or experience with logic synthesis, physical design, formal equivalence checking.
Proven track record developing flows and/or tools for chip design
Software engineering experience with software design, algorithms, and QA
Have a strong proficiency in Python, Tcl, C/C++
Ways to stand out from the crowd:
Familiarity with Machine Learning/Deep Learning
Experience in other ASIC methodologies such as RTL Lint, CDC, DFT or STA.
Experience with compute farm interaction: software deployment, performance optimization, containers, etc.
NVIDIA is widely considered to be the leader of AI computing, and one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you.The base salary range is $124,000 - $247,250. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits.
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