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The role, as Samsung Semiconductor, Inc. describes it
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Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
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 You’ll 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
Read the full advert and apply on Samsung Semiconductor, Inc.’s site →
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