Senior ASIC Timing Engineer

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 which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.

NVIDIA is looking for best-in-class Senior ASIC Timing Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in crafting our groundbreaking and innovating chips, enjoy working in a meaningful, growing and professional environment where you make a significant impact in a technology-focused company.

What you will be doing:

• You will drive physical design and timing of high-frequency and low-power DPUs and SoCs at block level, cluster level, and/or full chip level.

• Analyze and optimize design constraints and synthesis parameters to achieve performance, power, and area targets.

• Help in driving frontend and backend implementation from RTL to gds2, including synthesis, equivalence checking, floor-planning, timing constraints, timing and power convergence, and ECO implementation.

What we need to see:

• Great teammate

• BS (or equivalent experience) in Electrical or Computer Engineering

• 8+ years experience or MS (or equivalent experience) with 2 years experience in Synthesis and Timing.

• Understanding of DFT logic and hands-on experience in design closure.

• Expertise in analyzing and converging crosstalk delay, noise glitch, and electrical/manufacturing rules in deep-sub micron processes.

• Knowledge in process variation effect modeling and experience in design convergence taking into account process variations.

• Experience in critical path planning and crafting needed.

• Power user of Static Timing tools like Synopsys PrimeTime or Cadence Tempus.

• Solid experience in full-chip/sub-chip Static Timing Analysis (STA), timing constraints generation and management, and timing convergence.

• Proficiency in Python, Tcl and Make for automation and scripting tasks.

NVIDIA is widely considered to be the leader of AI computing, and one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you.