> Markdown version of [/jobs/ext/3020733-new-college-grad-memory-system-architect-hbm-generative-ai](https://www.wearedevelopers.com/jobs/ext/3020733-new-college-grad-memory-system-architect-hbm-generative-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # New College Grad - Memory System Architect, HBM Generative AI - **Company:** Micron Technology, Inc. - **Location:** Folsom, CA, United States - **Experience:** Starter - **Salary:** $103,000.0 - $210,000.0 - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, C++ (Programming Language), Nvidia CUDA, Computer Programming, Computer Engineering, Distributed Systems, Dynamic Random-Access Memory, Systems Analysis, Python (Programming Language), Performance Tuning, Tensorflow, Virtual Memory, AI Infrastructure, High Performance Computing, Large Language Models, Caching, Generative AI, Information Technology, Hardware Acceleration - **Published:** September 21, 2026 - **Apply:** https://dejobs.org/x/x/630C5634C616467CBF4420F6AB2D8FDF/job/ ## About the Role * 0-2 years of relevant experience through research, internships, academic projects, publications, or industry experience in computer architecture, memory systems, AI hardware, or high-performance computing. * Master's degree, PhD, or equivalent experience in Computer Architecture, Electrical Engineering, Computer Engineering, Computer Science, or a related technical field. * Strong understanding of GPU, TPU, AI accelerator, or large-scale computing architectures. * Knowledge of memory hierarchy concepts, including caches, HBM, DRAM, storage systems, and memory performance optimization. * Experience with performance modeling, architectural simulation, system analysis, or related research methodologies. * Programming experience in Python, C++, and/or AI computing frameworks such as CUDA, TensorFlow, or similar technologies. * Strong analytical, problem-solving, communication, and collaboration skills. * Familiarity with AI-enabled tools and large language models (LLMs) such as Copilot, Claude, or similar technologies., * Research experience in AI accelerators, computer architecture, memory systems, high-performance computing, or large-scale distributed systems. * Experience with compute-near-memory, processing-in-memory, or advanced memory architecture concepts. * Publications, conference presentations, patents, or demonstrated technical contributions in relevant research areas. * Familiarity with industry-standard memory technologies, interfaces, and protocols. * Experience developing architectural roadmaps, technology strategies, or long-term product planning recommendations. * Knowledge of rack-scale systems, AI infrastructure, networking, or large-scale training and inference environments. ## Description As a Memory System Architect on the HBM Architecture team, you will contribute to the definition of future memory architectures supporting Generative AI and data-intensive workloads. You will research and evaluate advanced memory system concepts, analyze AI accelerator architectures, and develop models that guide product strategy and technology roadmaps for next-generation memory solutions., * Research and evaluate advanced memory architecture concepts for AI accelerators, including GPU, TPU, and emerging compute platforms. * Develop and analyze system-level models to assess performance, power, scalability, and efficiency across memory and compute architectures. * Investigate memory hierarchy optimizations involving HBM, DRAM, cache, storage, and interconnect technologies. * Evaluate architectural trade-offs and emerging technologies, including compute-near-memory concepts, to support future product development. * Collaborate with cross-functional teams to translate research findings into architecture recommendations and long-term technology roadmaps. ## Related Videos - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Your Next AI Needs 10,000 GPUs. 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