LeetCode Palantir Interview: How to Prepare for Every Round

Palantir Technologies is one of the highest-paying companies outside the traditional FAANG group, and their interview reflects it. Total compensation for software engineers regularly exceeds $200K for new grads and climbs steeply from there. But getting an offer requires passing one of the most demanding interview processes in the industry — one that tests not just your ability to solve leetcode palantir problems, but your ability to think like an engineer who builds systems at scale.

Unlike most tech companies that run a straightforward phone screen followed by a coding onsite, Palantir layers in a Karat automated screen, a decomposition round that has no direct equivalent at other companies, and system design questions focused on data-intensive applications. If you prepare for Palantir the same way you prepare for Amazon or Meta, you will be underprepared.

This guide breaks down every stage of the palantir coding interview, identifies the patterns and problems that appear most frequently, and gives you a concrete 5-week prep plan to maximize your chances.

The palantir SWE interview process has several distinct stages, and the exact structure depends on whether you are applying for a Software Engineer (backend/infrastructure) role or a Forward Deployed Software Engineer (FDSE) role. Both paths share the initial screens but diverge at the onsite.

For the standard Software Engineer path, the process typically looks like this: a Karat screen (automated coding interview), a phone screen with a Palantir engineer, and an onsite consisting of 3-4 rounds covering coding, decomposition, system design, and a values/culture fit conversation.

The palantir forward deployed engineer path replaces one coding round with a more product-focused discussion and may include a case study about deploying software to a specific client. FDSEs are expected to think about end-user problems, not just algorithmic efficiency.

Palantir uses Karat for their initial technical screening, which makes the first round different from what you might be used to. The palantir karat interview is a 60-minute session where you solve 2 coding problems while a Karat interviewer watches via video. The interviewer is not a Palantir employee — they are a trained Karat assessor who evaluates your problem-solving process, code quality, and communication.

The problems in the Karat screen are typically LeetCode Medium difficulty, sometimes on the easier side of medium. They test fundamentals: string manipulation, hash maps, arrays, and basic graph or tree traversal. The key is that Karat evaluates not just whether you get the right answer, but how clean your code is and how clearly you explain your thinking.

Speed matters in this round. With 60 minutes for 2 problems, you have roughly 25-30 minutes per problem after introductions and wrap-up. If you struggle on the first problem, the second becomes nearly impossible to finish. Practice solving medium-level LeetCode problems in under 20 minutes each to build the pace you need.

Roughly 60% of candidates are eliminated at the Karat stage, making it the highest-attrition step in the entire pipeline. Treat this round seriously — do not assume medium problems are easy just because they are not marked hard.

Palantir builds software that connects and analyzes massive datasets — think intelligence analysis, healthcare data integration, and financial fraud detection. Their interview problems reflect this focus. The palantir leetcode problems you will encounter skew heavily toward patterns that involve connected data, relationships, and transformation.

Graph problems are the single most important category for Palantir. Since their core product (Foundry and Gotham) revolves around linking entities and traversing relationships, it makes sense that they test graph traversal, shortest path, topological sort, and connected components more frequently than most other companies.

Beyond graphs, you should expect string processing problems (data parsing is central to what Palantir does), tree traversal, dynamic programming, and data modeling questions that blur the line between algorithms and system design.

Based on interview reports and frequency data, these are the LeetCode problems most commonly associated with Palantir interviews. Solving all ten will give you strong coverage of the patterns they test most. Each one maps to a core skill that Palantir values — graph reasoning, data transformation, and efficient caching.

This list spans Medium to Hard difficulty. If you can solve all ten cleanly within time limits, you are well-prepared for the coding rounds. Focus on understanding the underlying pattern for each, not just memorizing the solution.

The decomposition round is what sets Palantir apart from every other tech company. This is not a coding round and it is not a traditional system design round. Instead, you are given a large, deliberately vague problem — something like "design a system to detect fraud in financial transactions" or "build a tool to manage hospital bed assignments" — and asked to break it into smaller, well-defined subproblems.

Your job is to identify the key modules, define clean interfaces between them, discuss trade-offs in your decomposition choices, and explain how the pieces fit together. You are evaluated on engineering maturity: can you take an ambiguous requirement and turn it into something a team could actually build?

This round tests skills that LeetCode alone cannot prepare you for. You need to practice thinking at the system level — what are the nouns and verbs of this problem? What data flows between components? Where are the hard parts, and where should you keep things simple? The best preparation is to take real products you use daily and practice decomposing them into modules with clear responsibilities.

Candidates who excel in the decomposition round often have experience with large codebases or have contributed to open-source projects. If you lack that experience, spend time reading architecture documentation for systems like Kafka, Kubernetes, or even the Linux kernel to build your intuition for how large systems are broken into components.

Preparing for the palantir interview prep requires a structured approach that covers coding, decomposition, and system design in parallel. Here is a week-by-week plan that balances all three areas and builds toward peak performance at interview time.

This plan assumes you already have a foundation in data structures and algorithms. If you are starting from scratch, add 2-3 weeks of fundamentals before beginning. Use YeetCode flashcards throughout to reinforce patterns with spaced repetition — the graph and tree categories are especially critical for Palantir.