We are now hiring for a Senior Mixed-signal Design Engineer! 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 that are hard to solve, that only we can take on, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today.
As a member of our Mixed-Signal high-speed I/O SerDes group, you'll be working on NVDIA's latest ground breaking technology that enables and accelerates gaming, artificial intelligence, deep learning, and autonomous driving. Your design will be consumed by standard as well as industry-leading proprietary high-speed protocols, and will serve as one of the key IPs in many complex SoC.
What you'll be doing:
Work with analog designers to create accurate systemVerilog model of analog components such as closed-loop PLL, Rx CTLE, SAR ADC and also optics components.
You’ll work with system architects, digital designers to define and verify the system architecture specification and refine adaptation algorithms.
Help in streamlining workflows with proper scripts to increase efficiency and enables reusability
Be actively involve in silicon bringup, build scripts that can be used for debug, QA, characterization and ATE
What we need to see:
B.S. or MS degree in Electrical Engineering or equivalent experience
12+ years of experience working in high-speed I/O digital design, knowledge at protocol level (SATA, PCIE, USB) preferred
Have a deep understanding of Verilog or SystemVerilog, logic design and circuit modeling for mixed-signal blocks
Deep understanding of high-speed Serdes/PLL analog circuit design.
Proven experience with custom digital circuit design and adaptation algorithms, such as DFE, CTLE, CDR, and offset cancellation
Have a strong background in Perl and Python scripting
Background in computer architecture and deep learning is a plus
You will also be eligible for equity and benefits.
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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.”
