Palantir Software Engineer and Forward Deployed Engineer interviews typically combine a recruiter screen, a HackerRank-style or live coding round, and distinctive decomposition/learning rounds, often closing with a behavioral or hiring-manager conversation.
$198K
Avg. Base Comp
$260K
Avg. Total Comp
Not reported
Typical Rounds
2 weeks
Process Length
Palantir's Software Engineer and Forward Deployed Software Engineer loops follow a recognizable shape in these candidate reports. They start with a recruiter or HR screen and a coding round, often HackerRank-style or a live code-pair. Then come one or more decomposition and learning rounds, which are less about algorithms and more about reasoning through an unfamiliar problem out loud. In the decomp format, candidates describe breaking down an open-ended problem, talking through a solution approach and defending tradeoffs. In the learning format, one candidate was handed a new concept or library and had to pick it up quickly. They then had to explain how they would integrate it into an existing system, with scaling, database choices and failure handling in mind.
The coding stage itself is usually approachable. Reported problems include:
Some loops add a systems-flavored round alongside pure coding. Examples include debugging a broken API service from logs and reasoning about memory leaks, finding a bottleneck verbally from a system diagram, and designing a reviews app while explaining where its data would come from. Across these rounds, interviewers want you to narrate your approach rather than silently reach an answer.
Motivation questions recur at nearly every stage: why Palantir, why forward-deployed versus a standard SWE track, and what you would bring as a teammate. One candidate felt that staying deliberately flexible about role preference hurt them, so prepare a specific, direct answer. Recruiter experiences also varied, from responsive to stalled with little feedback, so don't read too much into communication gaps.
Synthesized from 39 candidate reports by our editorial team.
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Real interview reports from people who went through the Palantir technologies process.
The process had five rounds. There were introspective questions throughout, such as why I was interested in Palantir, what I would do if Palantir did not meet my expectations, and what unique quirks I bring. During the hiring manager round there was a decomposition exercise focused on improving emergency systems. A sample technical prompt from that round: design a system to prevent blackouts in a power grid.
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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.
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| Why Do You Want to Work With Us | |
| Your Strengths and Weaknesses | |
| LRU Cache 1 | |
| Statistically Significant Test | |
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| 2nd Highest Salary | |
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| Subscription Overlap |
Synthesized from candidate reports. Individual experiences may vary.
Candidates describe an initial recruiter or HR call covering their background and a direct 'why Palantir' or 'why forward-deployed' question. One candidate also answered an essay-style prompt about what excited them about Palantir when applying. Reported recruiter experiences varied, from responsive and smooth to several follow-up calls that stalled without clear feedback.
Most candidates then complete a coding round, either on HackerRank or as a live code-pair over a tool like Microsoft Teams. Reported problems include a medium-level palindrome question and a multi-part exercise that began with loops and hash tables before escalating into a knapsack-style dynamic programming problem. Interviewers emphasize explaining your approach as you go rather than only reaching an answer.
Candidates call this the 'decomp' or 'learning' round. You may be asked to break an ambiguous problem into pieces and reason through tradeoffs aloud. Or you may have to pick up an unfamiliar concept or library mid-interview and explain how you'd integrate it into an existing system. One candidate's decomposition round combined high-level system design with an easy-medium coding problem. Several reports describe these rounds as the hardest part of the loop.
Some candidates also face a systems-oriented round. Examples include debugging a broken API service by tracing logs and reasoning about memory leaks, identifying a bottleneck verbally from a system diagram, and designing a reviews app while explaining where its data would come from. One candidate on a frontend-leaning track instead implemented a UI component from a verbal description, where clarifying the expected behavior before coding mattered.
The loop can close with a hiring-manager or behavioral conversation focused on motivation and team fit. It often revisits 'why Palantir' and what kind of teammate you are. One candidate was also asked about something they hadn't liked about working with a team.
