# Director of AI Workload Intelligence at SK Hynix

- Company: SK Hynix
- Company website: https://www.skhynix.com
- Type: Startups (AI role)
- Level: Principal and up
- Location: San Jose, CA
- Work setup: On-site
- Posted: 2026-09-01
- Apply by: 2026-10-16
- Apply: https://job-boards.greenhouse.io/skhynixamerica/jobs/5413166008
- Page: https://www.1752.vc/careers/jobs/sk-hynix-director-of-ai-workload-intelligence/

## 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

Tags: Engineering