About the role
Focused on bridging AI intelligence with memory strategy, this Director-level position leads global initiatives to analyze LLM and multimodal workloads for HBF applicability. The leader will define data placement criteria, develop HBF-aware benchmark suites, and guide product strategy by translating model behaviors into concrete memory system values.
What they're looking for
- Proven experience leading global AI system architecture initiatives and cross-functional teams
- Hands-on experience in AI inference systems, ML systems, LLM serving, AI model analysis, AI framework/runtime analysis, or heterogeneous accelerator software
- Strong understanding of Transformers, LLMs, MoE, recommendation models, embedding/retrieval workloads, and multimodal inference
- Experience with PyTorch, Hugging Face, vLLM, SGLang, TensorRT-LLM, ONNX Runtime, Triton Inference Server, or equivalent AI inference stacks
- Experience in latency, throughput, token throughput, memory footprint, bandwidth, and data movement analysis
More about this role
At SK hynix America, we are at the forefront of semiconductor innovation. As a global leader in HBM, DRAM, and NAND flash technologies, we develop the advanced memory solutions powering everything from advanced mobile technology to massive AI data centers. With major investments in the U.S. and a leading position in the global AI revolution, we build the critical infrastructure of the digital landscape and remain committed to sustainable operations. We invite innovative minds to be part of our journey. Here, you will be part of a collaborative team pioneering the next generation of memory technologies, expanding our market footprint, and defining the future of computing.
Work Model: Onsite
Job Title: Director of AI Workload Intelligence
Office Location: San Jose, CA
Job Type: Full-Time
Work Model: Onsite
Focused on bridging AI intelligence with memory strategy, this Director-level position leads global initiatives to analyze LLM and multimodal workloads for HBF applicability. The leader will define data placement criteria, develop HBF-aware benchmark suites, and guide product strategy by translating model behaviors into concrete memory system values.
- Lead global collaboration...
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