Job description

Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. 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 opportunities to internal leadership and cross-functional stakeholders. What You Bring Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field with 10+ years experience or a Master’s 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. #LI-MD1 What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, caregiver support, and medical travel support. Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range $163,000 — $253,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness 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. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified. Trade Secret Notice By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Applicant Privacy Policy semiconductor.samsung.com

Requirements

Must-haves

To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
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.
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.
Competitive & Ecosystem Analysis: Monitor AI platform evolution, storage architectures, competitor activities, and ecosystem trends to identify potential technology gaps and new product opportunities.
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field with 10+ years experience or a Master’s 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.
Storage & Interface Knowledge: Strong technical understanding of enterprise SSDs, PCIe, NVMe, server architecture, firmware, performance, power, thermal behavior, and system-level interoperability.
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.

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airest

Platform: greenhouse
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Benefits

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Dental

Vision

401k

Paid Time Off

Wellness