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 resolve, that only we can seek, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.

We are seeking an innovative Custom Circuits Timing Methodology Engineer to help drive sign-off strategies for the world’s leading GPUs and SoCs. This position is a broad opportunity to optimize performance, yield, and reliability through increasingly comprehensive modeling, informative analysis, and automation. This work will influence the entire next generation computing landscape through critical contributions across NVIDIA’s many product lines ranging from consumer graphics to self-driving cars and the growing domain of artificial intelligence! We have crafted a team of highly motivated people whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. If you are fascinated by the immense scale of precision, craftsmanship, and artistry required to make billions of transistors function on every die at technology nodes as deep as 5 nm and beyond, this is an ideal role.

What You’ll Be Doing:

• Develop Timing sign-off flows, constraints and QOR metrics for custom macro design at transistor level along with ones using standard cells and custom designs.
• Validating the timing of custom circuit design using NanoTime and various spice simulations.
• The timing analysis will include the application of variation and statistical parameters in timing-analysis. The QOR data generation will include IR drop, PVT and impact of variation models POCV,AOCV, Moments, wire-variation etc.

What We Need To See:

• Pursuing or recent completion of MS or higher in Electrical or Computer Engineering (or equivalent experience).
• Understanding of circuit design and spice simulations.
• Knowledge of advanced CMOS technologies, design with FinFET technology 5nm/3nm/2nm and beyond.
• Good understanding of circuit design styles in CMOS: domino circuits, high speed clocking, clock MUXing circuits etc. and how to verify them at circuit level in both spice and transistor level STA.
• Understanding crosstalk, noise, OCV, timing margins, Clocking specs (jitter, IR drop, crosstalk, and spice analysis).
• Experience with coding- TCL, Python. Must have hands-on experience with NanoTime static timing analysis, its algorithms and associated circuit constraint checks.

Ways to Stand Out From the Crowd:

• Prior experience in ASIC Design and Timing.
• Familiarity with ASIC tools, such as PT.
• Knowledge or experience with Cadence Virtuoso schematics, and .libs in Nanotime as well as PT.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. 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..

The base salary range is 108,000 USD - 201,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.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.