The interview process is distinctly C++ and algorithm-heavy compared to product startups, and the bar for data structures is consistently high regardless of the team you target. SRIB also runs one of the largest campus hiring programs in India, pulling from IITs, NITs, and BITS through its in-house online test platform.
Recruitment process
- 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
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.
Questions candidates report
- 01Practise
Reverse a linked list in O(1) extra space. Then explain when you'd use this in production.
Standard - 02Practise
What is the difference between a class and an object? Give an example.
Warm-upTCS Ninja/Digital tracks lean heavily on CS fundamentals: OOP, OS, DBMS, SQL basics. Expect rapid-fire Q's, not deep dives. - 03Practise
Write a SQL query to find the second-highest salary in a department.
Warm-up - 04Practise
What is normalisation in databases? When would you de-normalise?
Warm-up - 05Practise
What's the difference between a stack and a queue? Give a real-world use case for each.
Warm-up - 06Practise
Given a stream of integers, design a data structure that returns the median in O(log n).
Intense - 07Practise
You have a service that's slow only on Tuesdays. Walk me through how you'd debug.
StandardGoogleyness: structured debugging, hypothesis-driven, instrumentation-first. - 08Practise
Here's 200 lines of payment-processing code with several intentional bugs. Find them and explain the production impact of each.
IntenseStripe's signature 'bug bash' round. Off-by-one, race conditions, wrong error handling, edge cases in money math. Communicating impact > finding all bugs. - 09Practise
Explain webhooks vs. polling for a developer who has never built a payment integration. You have 4 sentences.
StandardStripe values writing clarity above almost everything. Length-constrained explanation tests prioritisation of ideas. - 10Practise
Walk me through Razorpay's fraud-detection model. How would you reduce false positives without increasing chargeback losses?
IntenseRazorpay ML rounds tie model decisions to ₹ impact, chargeback cost vs. blocked-good-txn cost. Pure ML answers without business framing fail.
Frequently asked questions
What 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.
What 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..
What 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.
Reverse 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.
What 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.
Write 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.
What 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.
What'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.