Process, Questions & AI Prep Tips
Samsung's North American R&D operations (Samsung Research America and Samsung Semiconductor) conduct advanced engineering work in mobile SoC design (Exynos), memory technology (HBM, DRAM), AI research, and consumer electronics software. Interviews are technically demanding with heavy emphasis on hardware-software co-design, embedded systems, and semiconductor process knowledge.
A 30-minute call about your background in semiconductor engineering, mobile platform development, or AI research, and your interest in the specific Samsung research center or product division.
A 60-minute technical interview covering domain-specific questions. For SoC roles, this includes architecture and micro-architecture questions. For software roles, coding and systems questions.
A detailed technical session with a subject matter expert covering memory architecture, mobile SoC design, AI accelerator design, or software stack engineering.
Two to three rounds with senior engineers and research scientists covering depth of domain expertise, system design, and behavioral interviews.
Explain the trade-offs between LPDDR5 and HBM3 memory for different compute workloads.
How would you design a neural processing unit (NPU) for a mobile SoC like Exynos?
Design Samsung's HBM3 memory interface and how it connects to a GPU die.
How would you optimize an on-device AI inference engine for Samsung Galaxy's Exynos NPU?
Design a mobile camera processing pipeline that uses the ISP and AI accelerator together.
How would you build Samsung's Bixby voice assistant backend infrastructure?
Design a memory compression system for mobile DRAM to reduce power consumption.
How would you implement a secure enclave for Samsung Knox mobile security?
Design a wireless 5G modem software stack on an Exynos SoC.
Tell me about a time you worked at the intersection of hardware and software to optimize system performance.
Samsung's North American R&D is highly domain-specialized — ensure you understand whether you are interviewing for SoC design, memory technology, software, or AI research.
Study mobile SoC architecture including CPU clusters (big.LITTLE), GPU, NPU, ISP, and modem integration in a single chip.
Understand HBM (High Bandwidth Memory) architecture since Samsung is a primary HBM manufacturer and this technology is central to AI compute.
Samsung values long-term research vision — demonstrate ability to think about 3-5 year technology trajectories, not just immediate product work.
Korean-American collaborative work culture is common at Samsung — understand that communication style and hierarchy may differ from Silicon Valley norms.
Review Samsung's published research papers at ISSCC, Hot Chips, and other semiconductor conferences for context on their research directions.
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