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SK hynix

Global producer of DRAM and NAND.

Director of AI Workload Intelligence

AI & Machine LearningConfirmed live in the last 24 hours
Full-timeSan Jose, CA, USA$250k - $300k

About the Job

Requirements

  • Proven experience leading global artificial intelligence system architecture initiatives and cross-functional teams.
  • Hands-on experience in artificial intelligence inference systems, machine learning systems, large language model serving, artificial intelligence model analysis, artificial intelligence framework/runtime analysis, or heterogeneous accelerator software.
  • Strong understanding of Transformers, large language models, mixture-of-experts models, recommendation models, embedding/retrieval workloads, and multimodal inference.
  • Experience with PyTorch, Hugging Face, vLLM, SGLang, TensorRT-LLM, ONNX Runtime, Triton Inference Server, or equivalent artificial intelligence inference stacks.
  • Experience analyzing latency, throughput, token throughput, memory footprint, bandwidth, and data movement.

Responsibilities

  • Lead global collaboration and drive artificial intelligence workload-based HBF technology development from research through proof of concept and productization.
  • Analyze artificial intelligence models, algorithms, and workload trends for HBF applicability.
  • Classify HBF-relevant memory objects, including weights, key-value cache, activations, embeddings, adapters, and mixture-of-experts experts.
  • Define model-level criteria for data placement, caching, prefetching, and offload decisions.
  • Analyze HBF integration points in vLLM, SGLang, TensorRT-LLM, PyTorch, and ONNX Runtime.
  • Identify HBF-applicable artificial intelligence model families and inference data objects.
  • Develop memory-use taxonomy and HBF applicability criteria.
  • Provide model-driven inputs to Compiler/Runtime and Artificial Intelligence Inference Software Stack teams.

About the Company

SK hynix

Global producer of DRAM and NAND.

Summary of SK hynix: 1) What does the company do? It is a global producer of semiconductor memory, specializing in DRAM and NAND Flash that power IT devices like computers, phones, and servers. 2) How do its products work? DRAM stores data using tiny capacitors and requires periodic refreshing to keep data, providing fast volatile memory. NAND Flash stores data in non-volatile memory cells and preserves data without power, serving as durable storage. Both chips are mounted in devices to enable fast processing and data retention. 3) How is the company different from competitors? It ranks as the second-largest memory chip maker with a broad product portfolio and strong technology, backed by the SK Group, giving it scale, resources, and global reach. 4) What is the company's goal? To become the world’s best semiconductor company by meeting diverse customer needs and leading in memory technology.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Seoul, South Korea
Founded
1983

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