Senior Staff Engineer, AI Workloads & Storage Systems

Samsung Semiconductor; San Jose (CA); On-site; USD 189,000 - 301,000; Full time

Job summary

Samsung Semiconductor seeks a Sr Staff Engineer at the Technology Enabling Development Lab (TED) to lead AI inference workloads and storage-system architecture. You will profile workloads, translate findings into design decisions, and collaborate across inference, platform, and hardware teams to advance NAND/SSD storage for AI applications.

You will drive performance analysis of the inference stack, NVMe storage interfaces, and the broader data-path, while mentoring engineers and shaping build

Qualifications

• Experience in systems, storage, or ML-systems software (10–15+ years).
• Strong technical leadership across teams and architecture decisions.
• Deep knowledge of Linux storage stack and NAND/SSD internals.
• Experience with AI inference workloads and benchmarking.

Responsibilities

• Characterize AI workloads and translate findings into architecture decisions.
• Collaborate with product, hardware and research teams to deploy architectures.
• Lead performance analysis across inference runtime, OS stack and hardware.
• Mentor engineers and set technical direction across the org.
• Engage with SNIA Storage.AI, MLCommons/MLPerf to align work with industry.

Skills

Python

Systems programming

Education

MS or PhD in CS/EE or related field

Tools

NVIDIA Dynamo

TensorRT-LLM

Triton

vLLM

LMCache

SGLang

Perf tooling

SPDK

uNVMe

libvfn

Job description

Samsung Semiconductor seeks a Sr Staff Engineer at the Technology Enabling Development Lab (TED) to lead AI inference workloads and storage-system architecture. You will profile workloads, translate findings into design decisions, and collaborate across inference, platform, and hardware teams to advance NAND/SSD storage for AI applications.

You will drive performance analysis of the inference stack, NVMe storage interfaces, and the broader data-path, while mentoring engineers and shaping build