Guides disagree: one reports two medium problems (arrays, strings, hash maps) in about 45 minutes, the other one medium-to-hard problem with an ML systems twist, like a streaming token generator or a request batcher. Some roles add an online assessment first.
Questions Together AI asks in this round 6
Remove a GPU node and reschedule its podsCodingGiven a cluster of GPU nodes running pods, drain one node and reschedule its pods onto the remaining nodes respecting their resource requirements. Reported on 1point3acres'…
Last asked Jul 2026
Diagnose a slow Linux server: CPU, disk, network and logsCodingA troubleshooting round in several scenarios. For each, say which tools you reach for, what the numbers tell you and how you get from the host down to the cause. 1. CPU looks…
Last asked Sep 2026
Split a file iterator into balanced line-aligned partsCodingSplit a large file into balanced parts for parallel workers without cutting lines in half: each part holds whole lines and the parts stay close in size. Reported on 1point3acres'…
Last asked Sep 2026
Design a GPU scheduling platformAI systemShare a large GPU cluster among research and production teams: queue training and inference jobs, enforce quotas and priorities, place jobs on topology-aware hardware, and preempt…
Detect and break cycles in pod dependenciesCodingYou have many pods, and a pod may depend on other pods. 1. Dependencies are directed. Report whether they contain a cycle, much like checking whether a course schedule can be…
Last asked Feb 2026
Question types
Together AI technical phone screen interview questions