> Markdown version of [/jobs/ext/3868074-staff-engineer-memory-systems-architecture](https://www.wearedevelopers.com/jobs/ext/3868074-staff-engineer-memory-systems-architecture). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Staff Engineer, Memory Systems Architecture

- **Company:** Samsung
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $163,000.0 - $253,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Data Centers, Dynamic Random-Access Memory, Linux Kernel, Reverse Engineering, Systems Architecture
- **Published:** October 22, 2026
- **Apply:** https://www.thejobnetwork.com/job/4f8b6f70-a9e7-4782-ac8e-791f5b458be8/staff-engineer-memory-systems-architecture

## About the Role

* Bachelor's degree with 10+ years of relevant industry experience, or Master's with 8+ years or PhD with 5+ years hardware fault management, reliability, data center fleet management experience or related technical field preferred. (Must)
 * Knowledge of platform memory subsystem, platform RAS (Reliability Availability Serviceability) such as ECC, page offlining, hPPR and hardware sparing.
 * ECC design and verification and reverse engineering experience.
 * Understanding on the address mapping between CPU and memory.
 * Memory controller register modification.
 * Linux kernel commit experience.
 * DRAM and HBM failure mode understanding.
 * You're inclusive, adapting your style to the situation and diverse global norms of our people.
 * An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
 * You're collaborative, building relationships, humbly offering support and openly welcoming approaches.
 * Innovative and creative, you proactively explore new ideas and adapt quickly to change.

## Description

At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically.