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Palantir·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
Apr 2026

Summary

Palantir software engineer coding round, 40 minutes to implement a session manager class from scratch. The problem was more involved than it sounds and you had to write your own test cases too.

Questions Asked (1)

Q1

Implement a session manager class with two methods: start_session(session_id) and get_allocation(). Sessions must be distributed across a fixed set of servers such that no server has more than one more session than any other server.

Algorithms & Data StructuresSystem Design
Author's notes

The core idea clicked pretty fast once I thought about it as a load balancing problem.

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AI HintsAI Generated

Suggested Approach

Clarify the requirements and constraints, then design a data structure that efficiently tracks the number of sessions per server and the total sessions. Use a greedy assignment strategy: assign each new session to the server with the fewest sessions, ensuring the difference between any two servers never exceeds one. Discuss time and space complexity, and consider edge cases like server failures or dynamic server counts.

Pro tip: Mention that this is essentially a load balancing problem and that a min-heap can efficiently track the least loaded server, but since the difference is bounded by one, a simple round-robin approach also works. Also, discuss how to handle concurrent session starts and potential race conditions.

1. Clarify Requirements

Ask about the number of servers, whether it's fixed or dynamic, and if sessions can end. Confirm that the goal is to maintain balance with at most one session difference.

2. Choose Data Structures

Decide on a data structure to track sessions per server. A min-heap of server loads or a simple array with a pointer for round-robin can work. Consider trade-offs.

3. Design Algorithm

For start_session, assign to the server with the minimum load. For get_allocation, return the current distribution. Ensure the invariant holds after each assignment.

4. Analyze Complexity

Discuss time and space complexity. With a heap, start_session is O(log N); with round-robin, O(1). get_allocation is O(N) to return the list.

5. Handle Edge Cases

Consider scenarios like no servers, many sessions, server failures, and concurrency. Propose solutions like locking or atomic operations.

Key Points to Mention

  • Load balancing strategy: greedy assignment to least loaded server ensures balance.
  • Data structure choice: min-heap vs. round-robin array, and their trade-offs.
  • Time and space complexity of each operation.
  • Handling dynamic server counts or server failures.
  • Concurrency and thread safety considerations.
  • Testing and validation of the invariant (max difference ≤ 1).

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.