DFX CAD Tools Development Engineer

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!

As part of the CAD team our engineers develop and support tools for all of NVIDIA's semiconductor products. In addition, they also develop in-house tools in the area of Design for Test (DFT) and Design for Power (DFP) using C++, Python, and TCL. Below are some of the some of the teams' activities. We are a diverse team needing someone who is not afraid of a challenge. If this is you, come join us today.

What you will be doing:

Be responsible for architecting highly automated and customizable design flows using software engineering with modular design and object oriented techniques.

Work closely with our diverse team members on flows to provide DFT, and DFP methodologies for industry-leading chip designs.

Support development of tools using C++/Python/TCL.

Work cross functionally with DFT Methodology, Implementation and design teams with important DFT and power tools development tasks.

What we need to see:

2+ years of relevant work experience.

Smart, diligent and motivated to work in our CAD group.

BE or BTech or MTech in Computer Science, or Electronics Engineering, or Electrical Engineering, or equivalent experience.

Knowledge or experience with DFT, DFP is a plus.

Familiar with Verilog, VLSI and ASIC design principles, including knowledge of logic cells.

Software engineering: software design, algorithms, and QA.

Strong C++ programming experience.