Senior Clocks Methodology 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 that are hard to pursue, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today.

Responsibilities

• Develop Clock RTL generation and distribution tools for the next generation NVIDIA projects.
• Collaborate with the Clocks, unit, post-silicon and backend teams to understand the current concerns with Clocking and come up with solutions for supporting high speed Clocking.
• Understand the physical aspects of the chip and develop better clock distribution techniques.
• Improve Power, Performance, and Area (PPA) of state-of-the-art NVIDIA GPUs and Mobile SOCs.
• Contribute to new design implementation flows.

Requirements

• BS or MS (preferred) degree or equivalent experience in CE or EE.
• At least 3+ years of work experience.
• Validated strong coding skills in C++ or other industry-standard scripting languages.
• Deep understanding of logic optimization techniques and PPA trade-offs.
• Excellent problem solving and debugging skills.
• Strong interpersonal and collaboration skills are required.

Ways to stand out from the crowd:

• Prior experience in RTL design (Verilog), verification and synthesis.
• Proficiency in C++, Perl, Python, Make scripting.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant people in the world working for us and, due to unprecedented growth, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.