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← Samsung Semiconductor

Senior Staff Engineer - AI Workloads & Storage

Samsung Semiconductor
Location
San Jose, California, United States
Posted
24 days ago
Department
Technology Enabling & Development (TED)
What they actually want (must-haves)
  • Bachelor's degree and 15+ years relevant industry experience or Master's degree and 13+ years’ experience or PhD with 10+ years relevant industry experience
  • Extensive experience (typically 10–15+ years) in systems, storage, or ML-systems software
  • Demonstrated technical leadership and cross-team influence
  • Working knowledge of modern AI inference, especially transformer architectures
  • Deep systems-level understanding of the Linux storage stack and NAND/SSD internals
  • Fluency in Python plus a systems language (C/C++, Rust, or Go)
Nice to have
  • Hands-on experience with the modern inference stack: vLLM, SGLang, LMCache, NVIDIA Dynamo, TensorRT-LLM, or Triton
  • Familiarity with GPU-adjacent data movement and memory frameworks
  • Understanding of GPU and TPU architecture
  • Experience with user-mode storage access frameworks
  • SSD firmware experience
What the job really is

As a Senior Staff Engineer focusing on AI workloads and storage, you will lead the characterization of AI workloads, translating insights into architectural decisions for storage systems. Your role involves collaborating with customers to develop SSD capabilities for AI, conducting performance analyses, and engaging with industry standards to shape future developments. You will also mentor engineers and set technical direction across teams, ensuring optimal data placement and system performance.

Benefits
  • Medical/Dental/Vision/401k
  • 4+ weeks of paid time off a year
  • Charitable giving match
  • Stipend for fertility care or adoption
  • Medical travel support
  • Virtual vet care
Things to weigh
  • No specific mention of team size or structure
  • Role involves significant hands-on technical leadership, which may require deep involvement in multiple areas
  • The role is highly specialized, focusing on AI workloads and storage, which may limit broader software engineering experience
Job score3.8/5
Benefits5/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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