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NVIDIA

Designs the chips and software that power AI

SoC Product Architect - Memory Ecosystem

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A master's degree in Electrical Engineering, Computer Engineering, Physics, or a related field, or equivalent experience.
  • At least 18 years of experience in DRAM or memory subsystem architecture, SoC or memory controller design, or closely related roles in semiconductor or system companies.
  • Deep understanding of modern DRAM technologies, including DDR, LPDDR, GDDR, and HBM, and non-volatile memories, including NAND flash and managed NAND/SSD, and their tradeoffs in bandwidth, latency, power, capacity, packaging, and reliability.
  • Proven experience working directly with memory vendors on product definition, bring-up, or co-development, and familiarity with how large-scale customers influence vendor roadmaps.
  • Solid background in SoC and system memory subsystems, including memory controllers, PHYs, signal integrity, power delivery, and how memory choices affect overall SoC and platform performance and power.
  • Ability to perform competitive analysis, interpret teardown data, benchmark memory bandwidth and latency, and draw architectural conclusions and recommendations.
  • Experience representing technical positions in vendor meetings, technical reviews, and multifunctional internal reviews.
  • Ability to work across architecture, design, systems, sourcing, operations, and regions to drive alignment and decisions without direct authority.

Responsibilities

  • Partner with major memory vendors to understand their technology and product roadmaps, including DDR/LPDDR, GDDR, HBM, NAND, and emerging NVM, and align them with NVIDIA's SoC and platform roadmaps.
  • Steer vendor roadmaps by articulating NVIDIA's performance, power, capacity, form-factor, and reliability requirements, and translate SoC and system needs into data-driven feedback and requests.
  • Innovate DRAM solutions with vendors, exploring architectures, signaling, packaging, and power-management techniques to meet future SoC and system bandwidth, latency, and power requirements.
  • Work with SoC architects, memory controller designers, and board and system teams to co-optimize SoC and memory subsystem architecture, including channel topologies, speed grades, rank and stack configurations, and error-management strategies.
  • Represent NVIDIA at vendor technical reviews and roadmap meetings, present SoC roadmap needs, performance data, and proposals, and drive follow-ups and decisions.
  • Collaborate with sourcing, operations, substrate and PCB design, and quality teams to incorporate supply, cost, and reliability considerations into memory technology choices and long-term ecosystem strategy.

Desired Qualifications

  • Direct experience defining or architecting HBM, GDDR, or high-speed LPDDR solutions for GPUs, AI accelerators, or high-performance SoCs.
  • Hands-on experience with advanced packaging, such as 2.5D/3D, CoWoS, or multi-chip modules, involving high-bandwidth memory interfaces.
  • Prior ownership of memory-related teardown or benchmarking programs, with examples of how results influenced product or technology direction.
  • Established relationships with major memory vendors and a history of successful roadmap or co-development engagements.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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