Senior ASIC Physical Design Engineer, Netlisting

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 Physical Design Engineer, Netlisting 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.

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  You will drive physical design of high-frequency and low-power CPUs, GPUs, SoCs at block level, cluster level, and/or full chip level, with a focus on netlist-related aspects such as equivalence checking, asynchronous checking including clock domain crossing checks and MTBF analysis, logic synthesis, netlist quality checks, etc.

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  Help in all aspects of physical design, such as driving timing convergence, timing constraints generation and management, and ECO generation and implementation.

• BS (or equivalent experience) in Electrical or Computer Engineering with 5+ years’ experience or MS (or equivalent experience) with 3+ years’ experience.

• Expertise in logic equivalence checking/FV required from RTL to tapeout with industry-standard tools. Deep understanding of hardware architecture and hands-on skills in RTL/logic design for timing closure.

• Experience in clock-domain-crossing checking, MTBF analysis, either with industry-standard tools or in-house tools.

• Background with logic synthesis at either block or full-chip level, at project execution and/or flow development.

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

• Expertise and in-depth knowledge of industry standard EDA tools in related fields.

• Proficiency in programming and scripting languages, such as, Perl, TCL, Make, Python, etc.

• Experience in logic synthesis and equivalence checking/FV. Familiarity with industry tools and flow.

• Strong hands-on debugging capability and problem-solving skills.

• Background in DFT timing closure for various modes e.g. scan shift and capture, transition faults, BIST, etc.

• Candidates who demonstrate experience or a strong drive to improve workflows and productivity through effective AI utilization will stand out.

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.

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This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.