Palantir Interview Questions
& Process for Software Engineers

Palantir hands you a story, not a specification. A spaceship approaching a line of planets, a delivery driver working out which orders to pick up next: the engineering problem is in there somewhere, and digging it out is the first thing graded, before anyone looks at a line of your code. The Decomposition round takes that furthest. You get a full hour on an open-ended customer situation with no defined scope, and it usually ends with little or no code at all. Candidates who read fast and start solving produce a clean answer to a problem nobody asked about. The pipeline around it looks conventional enough: a recruiter screen, a technical coding screen of one or two medium problems on a shared editor, then an onsite of three to five rounds that mixes coding with a decomposition and a behavioral conversation.

After the onsite the written feedback goes to a debrief, where mission fit carries as much weight as anything technical. Palantir talks about hiring missionaries rather than mercenaries, and it is not decoration: one candidate solved or partly solved every technical round of a New York onsite and was turned down anyway. Saying you came for the interesting problems and the compensation is close to disqualifying. Once the decision goes your way, the offer follows.

You do not sit a fixed loop. The onsite draws from a menu, so two people interviewing for the same job can end up in different rooms: clean algorithmic coding, the decomposition round that sets Palantir apart, a data-modeling conversation, a behavioral round anchored in the Forward Deployed Engineer culture. The exact split depends on the role and team.

A FAANG-shaped prep plan leaves you short here, and the gap is modeling judgment. You take a messy, ambiguous problem and break it into entities, links, and actions, then reason about how the data is integrated, secured, and kept traceable. Roughly the first twenty minutes of each technical round also goes to why you are here and how you work, and that time is taken out of the technical problem rather than added to the hour.

CodingDS&A

Standard data-structures-and-algorithms on a shared editor, medium-centered. Arrays and hashing, trees and graphs, dynamic programming, heaps and intervals, and data-structure design, graded on correctness and clean, readable code over trick-spotting

DecompositionDesign

A design round where you break a messy real-world problem into entities, links, and actions: the modeling mindset behind the Ontology, Palantir's semantic layer over integrated data

Data modelingModeling

Turn ambiguous requirements into a schema and an integration or transform pipeline, reasoning about sources, joins, access, and lineage rather than raw throughput

BehavioralFDE mindset

Ownership, ambiguity, and customer-facing problem solving, anchored in the Forward Deployed Engineer culture: the willingness to sit with a real user's messy problem and drive it to an outcome

The coding round is medium-centered and stays close to standard data structures and algorithms, and one problem comes back more often than any other: a stock portfolio where dated share events roll up into the total position held on each day, carrying an unchanged position forward through the quiet ones. Around it sit frequency maps and sliding windows, tree and graph traversals, dynamic programming, and heap-and-interval problems, plus a data-structure design question such as a Premium question or a small a Premium question.

This is not a whiteboard shop. Every live round runs in a shared editor where the code executes against cases, so the answer that looks right on screen and dies on the empty input gets caught in front of you. Working, correct, and readable beats clever and broken. The interviewer is grading the narration too, and going quiet while you think is the most-cited reason a strong candidate gets cut. Complexity you state while building counts for more than complexity you announce once the code is done. Palantir open-sources a good deal of its engineering on GitHub, including the widely used Blueprint UI toolkit.

Decomposition is the round Palantir is known for, and the prompt is usually somebody's actual job: a field commander who has to see where every asset is, an agency that wants a knowledge graph over people, places, and events. What you hand back is a model: what the entities are, how they are linked, and what actions can be taken on them. That is the thinking behind the Ontology, the semantic layer that sits over integrated data in Foundry.

The data-modeling conversation asks for the same judgment on different ground. You turn ambiguous requirements into a schema and an integration or transform pipeline, and you are expected to have opinions about sources, joins, access control, and lineage rather than filing them under details for later.

Nobody is holding an answer key. Both rounds start deliberately under-specified, and then the interviewer adds constraints while you are mid-sentence. Now the deployment is air-gapped. Now the feed arrives seven days late with columns nobody warned you about. A structure that only holds in its first tidy form comes apart on the second of those. Assumptions you said out loud can be revised in a sentence, and the ones you never mentioned take the model down with them.

An offer is base salary, equity, and a sign-on, and the equity is the part to understand first. Palantir has traded publicly since its September 2020 direct listing, so the RSUs in the letter are ordinary market-priced shares you can sell once they vest, with no liquidity event to wait on and no private valuation to squint at. What the grant is worth is whatever the ticker says the day it lands. There is no annual cash performance bonus underneath it either, which catches people comparing the total against a FAANG offer.

Total-compensation percentiles for a Palantir software engineer, per Levels.fyi (US, as of Aug 2026); self-reported and rounded. Palantir has one flat SWE rung rather than an L3/L4/L5 ladder, so comp spreads by scope instead of by level: the average is about $433K and the median $395K, all base plus public PLTR stock with no cash bonus.

Negotiate once the decision has gone your way and the offer is being written. Base sits in a tight band that the recruiter defends, so the grant is where the movement actually is, and a competing offer is still the strongest lever you can bring to it. The org is flat enough that there is no level to argue your way up, which leaves your scope case to do its work through the size of the grant and the track you land on.