We are now looking for a Senior SRAM Engineer! The Full Custom Macro team at NVIDIA designs specialized RAM implementations for NVIDIAs wide array of processing chips. Be it high speed, low power, multiport, we engage closely with processor architecture teams to build custom solutions across the entire NVIDIA silicon portfolio. Are you interested in designing circuits for the next generation of AI chips? Join a team of dedicated engineers developing the custom SRAM circuits that help power these chips.
What you'll be doing:
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Design best-in-class SRAM circuits using state-of-the-art technology processes
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Optimize circuits for performance, area, and power
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Supervise mask designers to craft high quality and dense pitch-matched layout
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Verify functionality, electrical integrity, and robustness
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Improve/develop flows and methodologies to streamline design automation, data collection, and analysis to ensure working silicon
What we need to see:
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BS/MS/PhD (or equivalent experience) in Electrical or Computer Engineering
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Minimum 3 years of circuit design experience
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Experience with scripting languages - Perl and Python
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Strong understanding of SRAM and memory design techniques and macro/block development
Ways to stand out from the crowd:
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Self-motivation, attention to detail, strong data analysis and clear communication and presentation skills
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Familiarity with industry tools such as Cadence Virtuoso for schematic and layout, SPICE simulators, waveform viewers
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Background with developing and using various flows and methodologies including: Static Timing analysis, EM and IR analysis, Formal Verification
At NVIDIA, we have been at the forefront of innovation for over two decades. Our groundbreaking invention of the GPU in 1999 fueled the growth of PC gaming market, redefined modern computer graphics and revolutionized parallel computing. More recently, our advancements in GPU deep learning sparked the modern AI era, paving the way for the next computing revolution. NVIDIA is a "learning machine," constantly evolving and adapting to seize new opportunities. We seek challenges that are not only hard to tackle but also matter deeply to the world. Our mission is to amplify human imagination and intelligence, and we are dedicated to this life's work. Make the choice and join our diverse team today!
#LI-Hybrid
The base salary range is 136,000 USD - 264,500 USD. 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 accepts applications on an ongoing basis.
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.
Top Skills
What We Do
NVIDIA’s 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
