NVIDIA is now looking for a Senior Memory System Engineer to join our ASIC Memory Subsystem team! As a Senior Systems Engineer at NVIDIA, you'll join a group of hardworking engineers to develop and architect innovative Memory Solution for Tegra SoCs. In this position, you'll make a real impact in a multifaceted, technology-focused company. You will work with memory controller/PHY and Platform / System architect, Firmware, SI/PI, Memory suppliers to design and architect cutting edge, high speed and lower power memory technology for NVIDIA CPUs and SOCs. What You Will Be Doing: Analyze future DDR/LPDDR/HBM technologies to determine optimum performance, power, function and RAS in memory for Next generation SOC and Systems. Collaborate with ASIC Architects, Designers, Software and Firmware SW/FW teams to drive memory technology and associated requirements for memory controllers. Define Memory module, Package, and PCB layouts appropriate to the system workloads Debug and bring up memory evaluation / validation and failure issues on memory technology. Collaborate with DRAM suppliers and industry partners on to develop memory and memory related component technology. What We need to see: Bachelor's degree or master’s degree in Electrical Engineering, Computer Engineering (CE), or a related field (or equivalent experience) 10 years of proven track record in DRAM design, module design, or memory sub system design. Deep understanding and strong fundamental of memory design, features, ECC algorithm, SI and PI (Training algorithm) in DDR, LPDDR, and HBM. Strong understanding of memory sub system level interaction with Cache, Memory controller and PHY. Experience in the design, bring-up and validation for memory failure analysis Experience with Python, C/C
Architect- Memory Subsystem
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Role overview
Job description
What We’re Looking For: We’re looking for memory subsystem architects to contribute and own aspects of the memory subsystem for the largest and highest bandwidth memory system ever built to date. This includes the distributed memory fabric, memory controllers, interface with the XPUs/compute complex, etc. Ideal Candidates: Ideal candidates will have: Deep knowledge and hands-on experience in the design and implementation of memory sub-systems Understand LLM inference workloads and what the impact of that for the memory subsystem is Understand the benefits and limitations of memory tiering for various workloads Nice to Have: Experience with CXL and other memory pooling protocols Experience with design and implementation of memory controllers Experience with processing in memory and other “unique” memory subsystem projects and efforts
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Department · Architecture
Hiring company
Volantis Semiconductor, Inc.
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