About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology—and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are currently looking for a Methodology/CAD Engineer to join our team! In this role you'll be building solutions to boost productivity and efficiency of our custom circuit designs. You will be engaging with multi-functional teams to ensure the robustness of the designs that will have direct impact across all product lines.

Requirements

  • MS (PhD preferred) in Computer Science/Engineering or equivalent experience
  • 3+ years of experience in VLSI CAD flows and methodology is required
  • Good programming skills in multiple languages (C++, Tcl, Python, Makefile or other scripting languages)
  • Prior experience with tool development, testing and evaluation is required
  • Good interpersonal skills, quick learner, proactive, innovative, highly motivated, and committed.

Nice To Haves

  • Previous work in VLSI, ASIC, or EDA is a definite plus
  • Previous experience working with AEs
  • Enjoy working with multiple levels and teams across organizations
  • Effective interpersonal and technical presentation skills
  • Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team

Responsibilities

  • Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon hardware design and related data
  • Work with different design teams to understand design needs and evaluate different CAD tools through creating test cases and evaluations runs
  • Work closely with design engineers to support the existing development infrastructure, identify possible improvements and solutions
  • Employ good software engineering practices to develop complex and scalable systems
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