NVIDIA is looking for an ASIC Design Engineer to join our Memory Subsystem Team! As an ASIC Design engineer at NVIDIA, you'll join a group of hard-working engineers to design and implement memory Subsystem our Tegra SoCs. In this position, you'll make a real impact in a dynamic, technology-focused company. Your work will impact product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We've crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the computing platforms of tomorrow.
What you'll be doing:
As a key member of our design team, you will be responsible for the micro-architecture and design implementation of Tegra SOC memory subsystem modules. You will collaborate with architects, software engineers, and circuit designers to deliver a world-class solution.
In this position, you will have the opportunity to be responsible for the micro-architecture and design including RTL design, synthesis, functional verification, and timing analysis using innovative CAD tools and the latest process technologies.
What we need to see:
BS (or equivalent experience) in Electrical Engineering, Computer Engineering, or a related degree required; advanced degrees (MS, PhD) are a plus.
3+ years of relevant proven experience and a background in logic design, Verilog and/or System-Verilog, with a good understanding of Computer Architecture and Digital Systems design.
Experience with multiple clock domains and asynchronous interfaces.
Experience in low power design and low power architecture.
Knowledge of DRAM controllers is a plus.
Experience with all stages in the ASIC design flow including emulation, prototyping, DFT, timing analysis, floor planning, ECO, bringup & lab debug, and ATE test development.
Strong working knowledge of Verilog or VHDL.
Familiarity with board and system-level issues.
Programming skills in C and/or PERL.
Good communication skills and interpersonal skills are required.
Ways to stand out from the crowd:
Knowledge of industry specifications like CHI/AXI/CXL/PCI-E is a plus.
Experience with RISCV Scalar, RISCV Vector, or ARM Processors is a plus
A history of mentoring junior engineers and interns is a huge plus.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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NVIDIA is on the lookout for an ambitious ASIC Design Engineer to join our stellar Memory Subsystem Team in Santa Clara, CA! If you’re passionate about working with cutting-edge technology and want to contribute to the design and implementation of memory subsystems for our Tegra System on Chips (SoCs), you've found the right place. At NVIDIA, you'll be surrounded by a team of incredibly talented engineers dedicated to pushing the limits of what's possible—from consumer graphics to self-driving vehicles and the ever-expanding world of artificial intelligence. In this exciting position, you will dive into the micro-architecture and design implementation of memory subsystem modules, collaborating closely with architects, software engineers, and circuit designers to create top-notch solutions that will be integral to our products. Your expertise with RTL design, functional verification, and timing analysis using the latest CAD tools will be invaluable as you'll handle various stages of the ASIC design flow, including emulation and prototyping. We value innovative minds, and if you have a good grasp of low power design and knowledge of DRAM controllers, that will certainly set you apart! With a competitive salary range of $108,000 to $212,750 and a strong commitment to diversity and inclusion, NVIDIA is more than just a workplace; it’s a community ready to support your career growth while you help shape the technology of tomorrow.
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NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.
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