Staff Engineer, Storage Business Enablement

Samsung Semiconductor

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Jose, CA
Salary
$152,000–$236,000 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $208k
This role $194k
$140k most similar roles pay here $265k

This role pays less than 63% of similar roles. Most pay $176,812–$238,875 — the shaded band above. At the midpoint, this role pays about $194k versus about $208k for comparable roles.

Based on 240 similar postings.

Employer

About Samsung Semiconductor

Samsung Semiconductor is the global semiconductor business unit of Samsung Electronics, designing and manufacturing memory chips, logic semiconductors, and foundry solutions for a broad range of applications.

Samsung Semiconductor currently has 49 open roles on FindRole.

Listed pay typically runs $163,000–$253,000 across 49 roles with salary data.

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At a glance

TL;DR · Staff Engineer, Storage Business Enablement

Staff Engineer, Storage Business Enablement serves as a critical technical bridge between the SSD business and the evolving AI infrastructure ecosystem. Working within the NeoCloud and Software-Defined Storage sectors, you will identify emerging storage architectures and translate complex customer workload requirements into strategic product opportunities. You will be responsible for building relationships with NeoCloud providers and software companies to influence product roadmaps and accelerate design-in wins. Day-to-day tasks include analyzing GPU servers, AI clusters, NVMe storage, and distributed systems while developing technical proposals and benchmarking plans. The role requires deep expertise in SSD, NAND Flash, PCIe, and data center architectures. You will collaborate across R&D, marketing, and sales teams to solve infrastructure challenges for high-growth segments like disaggregated storage and KV Cache, ensuring the delivery of differentiated solutions for modern data center environments.

What does a Engineer earn in California?

Median $208000 from 94 postings across 22 companies.

See salary data

What you'll do

  • Develop and maintain technical relationships with NeoCloud, storage software, and AI infrastructure customers to understand their system architectures and requirements.
  • Identify emerging AI/ML storage use cases and translate customer pain points into specific SSD product and solution opportunities.
  • Analyze complex storage architectures including GPU servers, distributed systems, NVMe, and disaggregated storage.
  • Define technical specifications for SSDs including capacity, performance, endurance, latency, power, and form factor based on customer needs.
  • Lead technical discussions, proofs of concept (PoCs), evaluations, and design-in activities from early exploration through production.
  • Bridge the gap between customer requirements and internal R&D, marketing, and sales teams to drive the product roadmap.
  • Create technical proposals, benchmarking plans, and business cases to support SSD adoption across various platforms.
  • Monitor market trends and gather competitive intelligence on storage technologies to inform actionable business strategies.

What we're looking for

  • Bachelor’s degree or higher in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
  • 10+ years of experience in the semiconductor, technology, or related industries.
  • 5+ years of experience in SSD, NAND, storage systems, server, data center, or related fields.
  • Strong understanding of NVMe SSDs, NAND Flash, PCIe, and modern data center storage architectures.
  • Experience working with hyperscalers, NeoCloud providers, server OEMs/ODMs, storage vendors, or storage software companies.
  • Experience in customer-facing technical roles including presentations, PoCs, evaluations, and design-in activities.
  • Ability to communicate complex technical concepts across hardware, software, and system architecture.
  • Proven ability to collaborate with cross-functional teams including R&D, Product Marketing, Sales, and Application Engineering.

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