Palantir Software Engineer interview typically runs 4 rounds: recruiter screen, technical screen, decomp/learning, and hiring manager. It usually takes about 2 weeks and is notably heavy on communication and ambiguity handling.
$140K
Avg. Base Comp
$269K
Avg. Total Comp
4-6
Typical Rounds
2-5 weeks
Process Length
We’ve seen a consistent pattern across Palantir candidate experiences: the company is less interested in polished, memorized answers than in whether you can turn ambiguity into structure. Multiple candidates described rounds that felt like decomposition exercises, vague problem docs, or quiet interviewers who expected them to drive the conversation anyway. That shows up in everything from the Mars base prompt to the reviews app and the broken API debugging exercise. The people who struggled most weren’t necessarily weak technically; they were the ones who waited for more guidance than Palantir tends to give.
Another recurring theme is that Palantir cares about mission fit and role conviction more than candidates expect. Several candidates mentioned being pressed on why Palantir, why forward deployed, and even whether they really understood the company’s work. One candidate noted that being too diplomatic about preferring FDSE versus SWE seemed to hurt them, which is a useful signal: they seem to value specificity over flexibility theater. We also see a lot of evidence that the technical bar is broad rather than exotic — easy-to-medium coding can still escalate into optimization, debugging, system design, or a learning-style exercise. The candidates who did best were the ones who could stay calm, explain tradeoffs clearly, and keep moving when the interviewer gave very little back.
Synthetized from 10 candidates reports by our editorial team.
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Real interview reports from people who went through the Palantir technologies process.
I went in with a referral and still got a pretty mixed process from Palantir. After I applied, I got an email to set up a recruiter screen, and the HR side was actually very responsive. That first chat was straightforward, and once that went well they scheduled the technical interview. I also had an online assessment in the mix, and that was where I got cut off first, which was frustrating because I later got another email inviting me to interview anyway.
The technical rounds were mostly what I’d call normal LeetCode-style questions, with one engineer round that felt pretty easy and conversational. The engineer was good to talk to, and it felt like a real back-and-forth rather than a rigid interrogation. The harder part was the system design round with a tech lead. He was talking very fast, and I honestly could barely keep up with what he was saying, so that round felt rough even though the rest of the process was manageable. Another round was presented as a vague, messy problem in a doc, and the expectation was to work through it out loud by defining inputs, breaking it into subproblems, and asking clarifying questions even when the interviewer stayed quiet. Overall it felt more like pair programming with a reserved coworker than a classic interview. I didn’t get an offer, but the main takeaway for me was to be ready for medium-level coding questions, to talk through your reasoning constantly, and to stay calm when the interviewer gives very little guidance.
Prep tip from this candidate
Practice medium LeetCode-style problems while narrating your thought process the whole time, since one round was essentially a quiet pair-programming exercise. Also be ready for a fast-paced system design conversation where you may need to slow the interviewer down and ask clarifying questions to keep up.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Palantir technologies
Given two sorted lists, write a function to merge them into one sorted list.
| Question | |
|---|---|
| Over-Budget Projects | |
| Find the Missing Number | |
| One Element Removed | |
| Level Of Rain Water In 2D Terrain | |
| Hurdles In Data Projects | |
| Find Duplicate Numbers in a List | |
| Words in Encrypted String | |
| Target Indices | |
| Swiping App Design | |
| Subway Machine Learning Model | |
| Three Indexes Adding Zero | |
| Shortest Path Algorithms | |
| Generating Discover Weekly | |
| Why Do You Want to Work With Us | |
| Your Strengths and Weaknesses | |
| LRU Cache 1 | |
| Statistically Significant Test | |
| Delivery Online | |
| Stakeholder Communication | |
| 2nd Highest Salary | |
| Empty Neighborhoods | |
| Top Three Salaries | |
| Subscription Overlap | |
| Rolling Bank Transactions | |
| Customer Orders | |
| String Shift | |
| Comments Histogram | |
| Employee Salaries | |
| Closest SAT Scores |
Synthesized from candidate reports. Individual experiences may vary.
After applying online or through a referral, candidates typically hear from recruiting to set up the process. Several experiences mention quick recruiter outreach and responsive HR communication, though some applicants also noted the process could feel a bit disorganized or opaque at this stage. This first conversation is usually conversational and focused on background, motivation, and role fit. Recruiters often ask why Palantir, why the specific track or role, and may discuss the company, team culture, and the overall interview process.
Candidates then complete an initial technical round that can be a live coding interview, a HackerRank-style assessment, or a proctored coding challenge. The problems are often LeetCode-easy to medium, but interviewers care a lot about explaining your approach, clarifying vague prompts, and showing structured problem solving. This round focuses on breaking ambiguous problems or systems into smaller pieces and reasoning through tradeoffs out loud. Candidates described prompts involving system bottlenecks, vague design docs, scheduling optimization, or creative decomposition exercises where the interviewer gives limited guidance.
Palantir often includes an open-ended round designed to see how quickly you can learn something new and apply it during the interview. Candidates may be asked to pick up a new concept, library, or unfamiliar problem and then explain how they would integrate it into a system or solve a related task. Depending on the loop, candidates may face another technical interview such as coding, debugging, or system design. Reported prompts included debugging a broken API service, designing a product or app, optimizing a scheduling system, and broader system design questions involving scaling, databases, and failure handling.
The final conversation is usually behavioral and motivation-focused. Interviewers ask about ownership, teamwork, working with users or clients, why Palantir, why the specific role, and what kind of teammate you are.