Palantir software engineering interviews usually move through a recruiter screen, technical screen, several onsite-style sessions, and a hiring-manager conversation. The nine examples below cover coding, decomposition, debugging, system design, learning speed, and communication.

What to Expect: Palantir Interview Process

Palantir's reported process includes a 30-minute recruiter screen, a technical screen, three or four onsite interviews drawn from five formats, and a hiring-manager interview. Those formats are decomposition, learning, re-engineering, coding, and system design. The process typically spans three to four weeks, though role and team can change the sequence.

Decomposition turns a broad need into requirements, data models, APIs, and edge cases. Re-engineering asks you to understand or improve existing code. Learning rounds test how quickly you absorb unfamiliar information and apply it while answering follow-up questions.

How to Prepare and Pass Palantir Interviews

If your coding and design fundamentals are current, allow four to six weeks. If you need to rebuild either area, allow eight to twelve weeks.

• Practice handling ambiguous prompts methodically. For design or decomposition questions, begin with the users, goals, constraints, and failure cases. Start with a design you can explain clearly, then show how it scales.
• Practice reading and writing code. Debug problems involving concurrency, state, and data flow. Explain which behavior is wrong, how you proved it, and what your change might break.
• Explain your motivation in detail, including whether product engineering or forward deployment fits you. Discuss the specific role and explain how your experience fits it.

Use Lodely to prepare for Palantir coding, system-design, and behavioral interviews in one schedule and review the reasoning in an editorial after each problem.

Palantir Interview Questions

Recently asked in real interviews

These questions were asked recently in real Palantir interviews. Practice these and 4,000+ other questions from 1,000+ companies on Lodely.

Access Control Tree

algorithms Medium

Given a binary array where an operation cycles a row's elements to the left or right, return the minimum number of operations needed to create a column of 1s. If not possible, return 0.

algorithmscoding Medium

Stock Porfolio

coding Medium

Design a real-time knowledge graph platform.

system-design Hard

Design a permission-aware RAG chatbot for internal knowledge search

system-design Hard

Decomposition Master List

technical Medium

Re-engineering Interview Experience

technical Medium

How would you describe what our company does to your grandmother?

behavioral Medium

What would you change about your time at [Current Company]?

behavioral Medium

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Palantir Interview Breakdown

Access Control Tree

parents = [-1,0,0,1,1,2], ops = [["grant","user1","0"],["check","user1","3"],["revoke","user1","1"],["check","user1","3"],["check","user1","2"]]

["null","true","null","false","true"]

parents = [-1,0,0], ops = [["check","user1","0"],["grant","user1","1"],["check","user1","1"],["check","user1","0"]]

["false","null","true","false"]

Type: Stateful tree traversal with grant, revoke, and check operations.

Checking access for a node and its descendants requires scanning the full subtree, so repeated checks can be expensive. Define the access invariant before choosing traversal and indexing structures.

What it tests: Tree modeling, state updates, complexity, and inherited permissions.

Minimum Row Shifts for One Column

grid=[[0,1,0],[1,0,0],[0,0,1]]

2

grid=[[1,0,0],[0,1,0],[0,0,1]]

2

Type: Matrix search with cyclic row shifts.

The Trick: Shift each row left or right until every row has a 1 in the same column. Compare candidate columns directly and choose the one with the lowest total movement.

What it tests: Modular indexing, optimization, edge cases, proof that the total is optimal.

Stock Portfolio

Type: Stateful code and data modeling.

The Trick: Define the allowed actions and transactions first, then track how repeated updates change the overall state.

What It Tests: Test coverage and clean interfaces.

The other six questions broaden the loop. "Design a Real-Time Knowledge Graph Platform" covers streaming updates, graph storage, query latency, and consistency. "Design a Permission-Aware RAG Chatbot" adds document authorization, retrieval boundaries, and auditability. "How Would You Describe What Palantir Does to Your Grandmother?" tests whether you can explain the company in plain language. "What Would You Change About Your Time at Your Current Company?" requires an honest example of an improvement you acted on. "Decomposition Master List" turns a vague brief into an executable plan. "Re-engineering Interview Experience" tests how you inspect code, identify risk, and improve it without breaking existing behavior.

What Comes After The Interview

Ask when to expect the hiring-manager decision and team assignment. If you receive an offer, compare the location, role, base salary, equity, bonus, and vesting separately. As of September 17, 2026, public data shows U.S. software-engineer packages from $185,000 to $670,000, with a median of $290,000. The reported average is heavily weighted toward equity, whose value can change significantly each year.

Candidate Experiences

One recent U.S. software-engineering candidate described an online assessment, recruiter call, and one-engineer coding screen before a three-interview final day. The final sessions covered two real-world design problems and an API sketch, debugging concurrent code, and motivation plus résumé discussion. The candidate received an offer and described the experience positively. Prepare to move from implementation to open-ended design without losing structure.

Conclusion

Palantir values clear code, structured decomposition, fast learning, and clear explanations of tradeoffs. Use Lodely to practice the selected nine questions in one mixed loop.