Senior Staff Engineer - AI Inference & Storage Systems

Samsungsemiconductor

San Jose (CA)

On-site

USD 189,000 - 301,000

Full time

13 days ago

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Job summary

Samsung Semiconductor seeks a Sr Staff Engineer at the intersection of AI inference systems and storage/systems software. You will characterize AI workloads, translate findings into architecture, and drive data-path, tiering, and data-placement decisions across inference, platform, and hardware teams.

This hands-on leadership role requires deep Linux storage knowledge, NVMe expertise, and proficiency in Python and C/C++.

Qualifications

10–15+ years in systems, storage, or ML-systems software with strong precedent in performance improvements.
Technical leadership across teams, setting direction and mentoring engineers.
Experience with modern AI inference workloads and transformer architectures.
Deep understanding of Linux storage stack and NAND/SSD internals.
Fluency in Python plus a systems language (C/C++, Rust).
Advanced degree preferred or equivalent practical experience.

Responsibilities

Own AI workload characterization across inference, RAG, and training workloads.
Identify optimal data placement on flash to reduce write amplification and improve latency.
Lead deep-dive performance analyses spanning inference runtimes and storage stacks.
Build models to de-risk architectures before hardware exists and validate with measurements.
Mentor engineers and set architectural direction across teams.