Senior Clocks Methodology Engineer

Posted 4 Days Ago
Be an Early Applicant
Santa Clara, CA
Mid level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior Clocks Methodology Engineer at NVIDIA will develop Clock RTL generation tools and collaborate with various teams to optimize high-speed clocking designs. Responsibilities include understanding chip physical aspects, enhancing power-performance-area metrics, and contributing to new design flows.
Summary Generated by Built In

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.
 

The NVIDIA Clocks group is looking for a top ASIC Methodology engineer with proven experience in high-speed logic design and verification. In order to support high frequency clock domains, the complexity of clocking structure has increased significantly. Modern clocking design needs to balance high frequency clocks with power, DFT, noise, circuit and physical design constraints.

What you'll be doing:

  • 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.

What we need to see:

  • 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.

#LI-Hybrid

The base salary range is 128,000 USD - 258,750 USD. 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. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

C++
Perl
Python
Verilog
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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