Senior Synthesis Flow CAD Engineer

Details

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.

Responsibilities

• 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.

Requirements

• 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.
• Software engineering experience with software design, algorithms, data structures, testing.
• Have a strong proficiency in at least one of Python, Perl, Tcl, C/C++.
• Knowledge or experience with logic synthesis, physical design, formal equivalence checking.
• Proven track record developing flows and/or tools for chip design.

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.