LinkedIn interview process (2026)
Round-by-round breakdown of the LinkedIn software engineering interview across 4 levels and 26 rounds: interview mode, sample questions, and worked solutions.
Software Engineering Intern (Summer / 6-month, Bengaluru)
Difficulty: Medium · Timeline: ~2-3 weeks · Recommended prep: 6-10 weeks · Cooldown: No formally documented cooldown for interns; candidates who
-
Round 0: Online Assessment (HackerRank, web-proctored)
Assessment · ~90 minutes · difficulty 2/5 · elimination round
Mode of interview: Online assessment · HackerRank
Sample question: Maximum Subarray — Given an integer array nums, find the contiguous subarray (containing at least one number) with the largest sum and return that sum. Solve in O(n) time and O(1) space.
-
Round 1: Technical Interview 1 (DSA coding)
Phone · ~60 minutes · difficulty 2/5 · elimination round
Mode of interview: Live interview · HackerRank CodePair
Sample question: Shortest Word Distance II — Design a data structure initialized with a list of words that answers repeated queries: given two distinct words, return the minimum index distance between them in the list. Preprocess so each query is efficient. Input: first line is the word list (space-separated); each following line is two query words; print one distance per query.
-
Round 2: Technical Interview 2 (DSA + core CS)
Phone · ~45-60 minutes · difficulty 2/5 · elimination round
Mode of interview: Remote phone or video interview
Sample question: Find First and Last Position of Element in Sorted Array — Given a sorted array of integers nums and a target, return the starting and ending index of the target as [first, last], or [-1, -1] if not present. Must run in O(log n). Input: first line is the sorted array (space-separated); second line is the target.
-
Round 3: Hiring / Host Manager Round
Behavioral · ~15-60 minutes · difficulty 1/5
Mode of interview: Live behavioral interview
-
Round 4: HR / Behavioral Round + Offer
Offer · ~30-50 minutes · difficulty 1/5
Mode of interview: Offer discussion
Software Engineer (IC2/IC3, entry-to-mid) — Bengaluru
Difficulty: Medium · Timeline: ~3-5 weeks · Recommended prep: 6-10 weeks · Cooldown: 6-12 months
-
Round 0: Recruiter Phone Screen
Phone · ~15-30 min · difficulty 1/5 · elimination round
Mode of interview: Remote phone or video interview
-
Round 1: Online Assessment (HackerRank) — freshers/campus only
Assessment · 5-2 hours · difficulty 2/5 · elimination round
Mode of interview: Online assessment · HackerRank
Sample question: Nested List Weight Sum — Given a nested list of integers, return the sum of all integers weighted by their depth (top-level depth = 1). Input is the nested-list literal on one line, e.g. [[1,1],2,[1,1]].
-
Round 2: Technical Phone Screen (CoderPad)
Phone · ~45-60 min · difficulty 2/5 · elimination round
Mode of interview: Live interview · CoderPad
Sample question: Max Consecutive Ones III — Given a binary array and integer k, return the length of the longest subarray containing only 1s after flipping at most k zeros. Input: n and k on line 1, then the array.
-
Round 3: Onsite: Coding Round
Onsite · ~45-60 min · difficulty 3/5
Mode of interview: Live interview · CoderPad
Sample question: Can Place Flowers — Given a flowerbed (array of 0s and 1s where no two 1s are adjacent) and an integer n, return whether n new flowers can be planted without violating the no-adjacent rule. Input: m and n on line 1, then the m-element flowerbed. Output true/false.
-
Round 4: Onsite: AI-Enabled Coding Round
Onsite · ~45-60 min · difficulty 3/5
Mode of interview: Live interview · CoderPad
Sample question: Maximum Subarray — Given an integer array, find the contiguous subarray with the largest sum and return that sum (Kadane's algorithm). Input: n on line 1, then the array.
-
Round 5: Onsite: System Design (HLD)
System_design · ~45-60 min · difficulty 3/5
Mode of interview: Live system design interview
Sample question: Design LinkedIn's messaging system — Design LinkedIn's 1:1 and group messaging (InMail + chat): message send/deliver/read-receipt flow, real-time delivery via WebSockets, message ordering, offline queuing, and storage. Discuss the API, data model, and how it scales.
-
Round 6: Onsite: Hiring Manager / Behavioral
Behavioral · ~45-60 min · difficulty 2/5
Mode of interview: Live behavioral interview
Senior Software Engineer (Senior IC) — Bengaluru
Difficulty: Hard · Timeline: ~4-6 weeks · Recommended prep: 8-12 weeks · Cooldown: 6-12 months
-
Round 0: Recruiter Phone Screen
Phone · ~15-30 min · difficulty 1/5 · elimination round
Mode of interview: Remote phone or video interview
-
Round 1: Technical Phone Screen (CoderPad)
Phone · ~45-60 min · difficulty 3/5 · elimination round
Mode of interview: Remote phone or video interview
Sample question: Max Stack — Design a stack supporting push(x), pop(), top(), peekMax() and popMax() (remove and return the maximum element, top-most if ties). Input: q on line 1, then q operations (e.g. 'push 5', 'popMax').
-
Round 2: Onsite: Coding Round
Onsite · ~45-60 min · difficulty 3/5
Mode of interview: Onsite or virtual onsite interview
Sample question: Word Ladder — Given beginWord, endWord and a word list, return the number of words in the shortest transformation sequence (changing one letter at a time, each intermediate in the list), or 0 if none. Input: beginWord endWord on line 1, then n, then the n dictionary words.
-
Round 3: Onsite: AI-Enabled Coding Round
Onsite · ~45-60 min · difficulty 4/5
Mode of interview: Live interview · CoderPad
Sample question: Maximum Product Subarray — Given an integer array, find the contiguous subarray with the largest product and return that product. Input: n on line 1, then the array.
-
Round 4: Onsite: System Design (HLD)
System_design · ~45-60 min · difficulty 4/5
Mode of interview: Live system design interview
Sample question: Design LinkedIn's feed ranking system — Design LinkedIn's home feed for ~1B users: candidate generation from the connection graph, ranking/personalization, real-time vs precomputed fan-out, caching, and freshness. Cover the ML-serving path, storage, and how you scale ranking to billions of items.
-
Round 5: Onsite: Craftsmanship / Project Deep-Dive
Onsite · ~45-60 min · difficulty 3/5
Mode of interview: Onsite or virtual onsite interview
-
Round 6: Onsite: Hiring Manager / Behavioral
Behavioral · ~45-60 min · difficulty 3/5
Mode of interview: Live behavioral interview
Staff Software Engineer (IC5) — Bengaluru
Difficulty: Hard · Timeline: ~5-8 weeks · Recommended prep: 10-14 weeks · Cooldown: 6-12 months
-
Round 0: Recruiter Phone Screen
Phone · ~20-30 min · difficulty 1/5 · elimination round
Mode of interview: Remote phone or video interview
-
Round 1: Technical Phone Screen (CoderPad)
Phone · ~45-60 min · difficulty 3/5 · elimination round
Mode of interview: Remote phone or video interview
Sample question: Insert Delete GetRandom O(1) - Duplicates allowed — Design a collection supporting insert(x), remove(x) and getRandom(), all in average O(1), with duplicate values allowed (getRandom must return each element with probability proportional to its multiplicity). Input: q on line 1, then q operations. insert/remove print true/false; getRandom prints a value.
-
Round 2: Onsite: Coding Round
Onsite · ~45-60 min · difficulty 3/5
Mode of interview: Onsite or virtual onsite interview
Sample question: All O`one Data Structure — Design a structure supporting inc(key), dec(key), getMaxKey() and getMinKey(), each in O(1). inc adds a key (or increments its count); dec decrements (removing at 0). Input: q on line 1, then q operations. getMaxKey/getMinKey print a key with the max/min count.
-
Round 3: Onsite: AI-Enabled Coding Round
Onsite · ~45-60 min · difficulty 4/5
Mode of interview: Live interview · CoderPad
Sample question: Find Leaves of Binary Tree — Given a binary tree, repeatedly collect and remove all leaves, grouping nodes by the round in which they are removed (equivalently by height from the bottom). Input: level-order tokens with 'null' for missing children, on one line. Output each group on its own line.
-
Round 4: Onsite: System Design (HLD) — heavily weighted
System_design · ~45-60 min · difficulty 4/5
Mode of interview: Live system design interview
Sample question: Design a distributed search / inverted index (Elasticsearch-style) — Design a distributed inverted-index search system: document ingestion and tokenization, index sharding and replication, query routing and scatter-gather, ranking, near-real-time refresh, and fault tolerance at LinkedIn scale.
-
Round 5: Onsite: Project / Architecture Deep-Dive
Onsite · ~45-60 min · difficulty 3/5
Mode of interview: Onsite or virtual onsite interview
-
Round 6: Onsite: Hiring Manager / Behavioral (leadership)
Behavioral · ~45-60 min · difficulty 3/5
Mode of interview: Live behavioral interview
Other companies' interview processes
Worked sample solutions (code, design diagrams, and STAR answers) for every round are available in the FAANGPlus app: open interview processes.