Senior ASIC Timing Engineer job opportunity at NVIDIA.

Home Jobs In United States Of America Tag: Job Senior ASIC Timing Engineer position at NVIDIA


DatePosted 4 Days Ago bot
NVIDIA Senior ASIC Timing Engineer
Experience: 5-years
Pattern: full-time
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loacation US, CA, Santa Clara, United States Of America
loacation US, CA, Santa ..........United States Of America

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. We are now looking for a motivated Senior ASIC Timing Engineer to join our dynamic and growing team. If you want to challenge yourself and be a part of something great, join us today! 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 tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence. What you'll be doing: Drive timing analysis and closure of Nvidia’s GPUs, CPUs, DPUs and SoCs at block level, cluster level, and/or full chip level. Work with PD, DFX, Clocks, and other teams in coming up with timing closure strategy, creating timing constraints, driving timing and power convergence, as well as ECO implementation Apply knowledge and experience to improve timing convergence flows working with the methodology teams. What we need to see: BS (or equivalent experience) in Electrical or Computer Engineering with 5+ years’ experience or MS (or equivalent experience) with 2+ years’ experience in Timing and STA Hands-on experience in full-chip/sub-chip Static Timing Analysis (STA) and timing convergence, timing constraints generation and management. Expertise in analysis and fixing of timing paths through ECOs including crosstalk and noise analysis. Expertise and in-depth knowledge of industry standard STA and timing convergence tools. Knowledge of deep sub-micron process nodes and hands-on experience in modeling and converging timing in these nodes. Ways to stand out from the crowd: Background in domain specific STA and timing convergence, such as GPUs, CPUs, DPUs/Network processors, or SOCs Understanding of DFT logic and experience with DFT timing closure for various modes e.g., scan, BIST, etc. Understanding and timing closure of digital logic/macros in AMS designs/IPs. Experience in methodology and/or flow development as well as automation. 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. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until March 10, 2026. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. 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.

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