Senior Staff Engineer, AI Workloads & Storage Architect

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

Benefits offered by this job

4+ weeks of paid time off

Medical/Dental/Vision/401k

Charitable giving match

Job summary

Samsung Semiconductor seeks a Sr Staff Engineer to lead AI-inference workloads and storage-system software programs. You will translate workload insights into architecture, drive data-placement strategies, and mentor engineers across the organization.

The role emphasizes hands-on design, benchmarking, and collaboration with product and hardware teams to scale AI data paths in NAND/SSD storage, with emphasis on performance and end-to-end system optimization.

Qualifications

• 10–15+ years in systems, storage, or ML-systems software.
• Technical leadership and cross-team influence.
• Fluency in Python plus a systems language.
• Experience with modern AI inference stacks.

Responsibilities

• Characterize AI workloads and inform architecture.
• Analyze data placement on flash and FDP/streams to reduce write amplification.
• Lead performance analysis across runtime, storage stack, and hardware.
• Mentor engineers and set technical direction across teams.

Skills

Python

C/C++

Rust

Go

Linux

Performance analysis

System-level modeling

Technical leadership

AI inference

SNIA Storage.AI

Education

MS or PhD in Computer Science, Electrical/Computer Engineering

Tools

Perf

ftrace

eBPF

blktrace

fio

SPDK

NVMe

Job description

Samsung Semiconductor seeks a Sr Staff Engineer to lead AI-inference workloads and storage-system software programs. You will translate workload insights into architecture, drive data-placement strategies, and mentor engineers across the organization.

The role emphasizes hands-on design, benchmarking, and collaboration with product and hardware teams to scale AI data paths in NAND/SSD storage, with emphasis on performance and end-to-end system optimization.