Samsung R&D India Software Engineer Interview Questions 2026

Samsung R&D India technical interview FAQ

01What is the recruitment process at Samsung R&D India?

The typical Samsung R&D India recruitment process has 5 stages: Resume screen: CGPA cutoff (typically 7.0+) and relevant project or internship experience → Samsung Online Test: 3 DSA problems, 180 min, on Samsung's proprietary platform → Technical Round 1: DSA coding and C++/OS fundamentals → Technical Round 2: Domain-specific round (Android internals, AI/ML, embedded) depending on team → HR Round: cultural fit, relocation preferences, career goals.

02What are the interview rounds at Samsung R&D India?

Samsung R&D India typically conducts 4 interview rounds: Samsung Online Test (180 min): 3 DSA problems ranging from medium to hard. C++ is strongly preferred. Problems are time-pressured and test algorithmic thinking more than library knowledge.; Technical Round 1 (60 min): DSA problem on the whiteboard or shared editor followed by C++ and OS concept questions: pointers, virtual functions, multithreading, or memory layout.; Technical Round 2 (45-60 min): Domain depth depending on the team. Android candidates get questions on Binder IPC, HAL, or Dalvik/ART internals. AI/ML candidates get ML fundamentals and optimization basics.; HR Round (20-30 min): Standard questions on relocation to Bangalore, long-term goals, and why Samsung over a startup. Straightforward if you cleared the technical rounds..

03What framework should I use for Samsung R&D India technical interviews?

HireStepX recommends the Algorithm-first, then platform framework for this type of interview: Nail the core DSA solution with correct complexity, then layer platform context (Android, embedded, memory constraints) only after the algorithm is solid.

04Reverse a linked list in O(1) extra space. Then explain when you'd use this in production.

To answer this question well, HireStepX recommends the Algorithm-first, then platform approach: Nail the core DSA solution with correct complexity, then layer platform context (Android, embedded, memory constraints) only after the algorithm is solid. Ground your answer in a specific real example from your own experience.

05What is the difference between a class and an object? Give an example.

To answer this question well, HireStepX recommends the Algorithm-first, then platform approach: Nail the core DSA solution with correct complexity, then layer platform context (Android, embedded, memory constraints) only after the algorithm is solid. Ground your answer in a specific real example from your own experience.

06Write a SQL query to find the second-highest salary in a department.

To answer this question well, HireStepX recommends the Algorithm-first, then platform approach: Nail the core DSA solution with correct complexity, then layer platform context (Android, embedded, memory constraints) only after the algorithm is solid. Ground your answer in a specific real example from your own experience.

07What is normalisation in databases? When would you de-normalise?

To answer this question well, HireStepX recommends the Algorithm-first, then platform approach: Nail the core DSA solution with correct complexity, then layer platform context (Android, embedded, memory constraints) only after the algorithm is solid. Ground your answer in a specific real example from your own experience.

08What's the difference between a stack and a queue? Give a real-world use case for each.

To answer this question well, HireStepX recommends the Algorithm-first, then platform approach: Nail the core DSA solution with correct complexity, then layer platform context (Android, embedded, memory constraints) only after the algorithm is solid. Ground your answer in a specific real example from your own experience.