Location: Santa Clara, CA
Company: Nvidia
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 solve, 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: You will
drive physical design and timing of high-frequency and low-power CPUs, GPUs, -So Cs at block level, cluster level, and/or full chip level. 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: BS (or equivalent experience) in Electrical or Computer Engineering with -5 years experience or MS (or equivalent experience) with 2 years experience in Synthesis and Timing Solid experience in full-chip/sub-chip Static Timing Analysis (STA), timing constraints generation and management, and timing convergence. Hands on experience
in logic synthesis and equivalence checking/FV required. Deep understanding of hardware architecture and hands-on skills in RTL/logic design for timing closure.
Expertise in physical design and optimization e. g. placement, routing, cell sizing, buffering, logic restructuring, etc. to improve timing and power, along with a background in implementing them through ECOs. 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 variations.
Experience in critical path planning and crafting needed. You'll need to have expertise and in-depth knowledge of industry standard EDA tools. Proficiency in programming and scripting languages, such as, Perl, Tcl, Make, Python, -etc. Ways to stand out from the crowd: If you have a background in high-performance design, such as CPU, implementation and timing convergence, this is a plus Experience with DFT timing closure for various modes e. g. scan shift and capture, transition faults, BIST, etc. Knowledge in circuits, SPICE simulations, and/or transistor level STA. Experience in methodology and/or flow development/automation.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you. The base salary range is $130,000 - $286,000. 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 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, interactionual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Similar Jobs (5) Senior Hardware Security Architect - GPU Manufacturing locations 2 Locations time type Full time posted on Posted 30+ Days Ago ASIC Design Efficiency Engineer locations 3 Locations time type Full time posted on Posted 10 Days Ago About Us 0:00 -/ - 3:32 NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve.
Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. #J-18808-Ljbffr
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