Schedule GPU Pods and Drain a Node

Quick Overview

Determine which GPU nodes can accept a request and whether every pod from a drained node can be reassigned without moving existing workloads. Preserve deterministic output while handling whole-pod capacity, exact-fit cases, infeasible placements, concurrent pod creation, and the scale trade-off between exact and approximate scheduling.

Schedule GPU Pods and Drain a Node

Company: Together AI

Role: Software Engineer

Category: Coding & Algorithms

Difficulty: medium

Interview Round: Technical Screen

Overview: Determine which GPU nodes can accept a request and whether every pod from a drained node can be reassigned without moving existing workloads. Preserve deterministic output while handling whole-pod capacity, exact-fit cases, infeasible placements, concurrent pod creation, and the scale trade-off between exact and approximate scheduling.

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Together AI
Jul 13, 2026
mediumSoftware EngineerTechnical ScreenCoding & Algorithms
28
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