Staff Engineer, AI Platform Enablement and Emerging Applications

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Samsung Semiconductor is hiring for an AI Platform Enablement & Emerging Applications Engineer that will lead SSD enablement activities for next-generation AI and compute platforms from major industry partners such as NVIDIA and AMD. This role will own end-to-end platform engagement including early sample planning SSD qualification system validation issue resolution and production readiness for new platform launches. As AI infrastructure platforms continue to increase in scale and complexity the engineer will coordinate closely with customer engineering teams and internal product firmware hardware and validation organizations to ensure successful and timely SSD integration.

In addition the role will identify and incubate emerging AI storage applications and use cases translating early customer and ecosystem signals into technical evaluations proof-of-concepts and future product opportunities.

Location: Daily onsite presence at our San Jose headquarters in alignment with our Flexible Work policy with 10% of domestic travel.

Reports to: Principal Engineer R&D Product Development Planning

What Youll Do

• AI Platform Enablement: Lead SSD enablement and qualification activities for next-generation NVIDIA AMD and other strategic AI/compute platforms from early engineering engagement through production readiness.
• NPI Execution: Own SSD sample planning allocation qualification schedules validation milestones issue tracking and launch readiness for major platform NPI programs.
• Customer Technical Engagement: Serve as the primary technical interface for platform qualification and integration activities working directly with customer engineering and validation teams.
• System Validation & Issue Resolution: Coordinate system-level testing and drive cross-functional resolution of SSD PCIe/NVMe firmware thermal power performance and interoperability issues identified during platform qualification.
• Internal Program Coordination: Align product planning firmware controller hardware validation quality FAE and operations teams to ensure timely delivery of samples fixes and qualification requirements.
• Platform Requirement Management: Capture and communicate platform-specific requirements validation criteria design constraints and qualification feedback to internal product and engineering organizations.
• Emerging Application Incubation: Identify emerging AI storage workloads and applications evaluate their technical requirements and drive early feasibility studies benchmarking and proof-of-concept activities.
• New Opportunity Development: Explore new storage opportunities related to AI inference KV cache and context storage memory extension checkpointing GPU-direct I/O agentic AI and other emerging data-intensive workloads.
• Competitive & Ecosystem Analysis: Monitor AI platform evolution storage architectures competitor activities and ecosystem trends to identify potential technology gaps and new product opportunities.
• Executive & Program Reporting: Provide clear visibility into platform status qualification risks technical issues customer requirements and emerging opportunities to internal leadership and cross-functional stakeholders.

What You Bring

• Bachelors degree in Electrical Engineering Computer Engineering Computer Science or a related technical field with 10 years experience or a Masters degree with 8 years experience or a PhD with 5 years experience.
• Minimum of 5 years of experience in enterprise SSD server platform storage system semiconductor or data center infrastructure engineering.
• Platform Qualification Experience: Demonstrated experience supporting server accelerator or data center platform qualification and NPI programs including sample management validation planning issue tracking and production readiness.
• Storage & Interface Knowledge: Strong technical understanding of enterprise SSDs PCIe NVMe server architecture firmware performance power thermal behavior and system-level interoperability.
• AI/Data Center Familiarity: Working knowledge of modern AI and hyperscale infrastructure including GPU-based systems high-performance networking PCIe switches/retimers local NVMe storage and large-scale server deployments.
• System Debugging Experience: Proven ability to investigate and coordinate resolution of complex system-level issues across hardware firmware software and platform boundaries.
• Cross-Functional Program Experience: Experience working across engineering product planning validation quality operations sales FAE and customer organizations.
• Communication Skills: Strong written and verbal English communication skills with the ability to communicate technical issues program status and recommendations effectively across global teams.
• Travel: Ability to travel as needed for customer engagements platform bring-up qualification activities and industry events.

Key Competencies

• Execution Ownership: Ability to independently drive complex platform enablement programs from early engagement through qualification and production readiness.
• System-Level Thinking: Ability to understand SSD behavior within the broader CPU/GPU PCIe memory networking power thermal and software environment.
• Technical Problem Solving: Ability to quickly isolate technical issues identify the appropriate engineering owners and drive resolution across organizational boundaries.
• Program Prioritization: Ability to manage multiple concurrent platform programs sample demands qualification schedules and technical dependencies in a fast-moving environment.
• Customer Orientation: Ability to understand customer priorities anticipate technical and schedule risks and translate customer requirements into actionable internal plans.
• Cross-Functional Leadership: Ability to align global engineering product validation operations and customer-facing teams without relying solely on formal authority.
• Emerging Technology Curiosity: Ability to identify new AI workload and storage trends early assess their technical relevance and convert promising concepts into structured incubation activities.
• Technical Judgment: Ability to balance performance qualification risk schedule product maturity and customer requirements when making program and technical recommendations.
• Communication & Influence: Ability to clearly communicate technical findings program risks priorities and recommendations to engineers customers and senior management.

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