Palantir FDE Interview: Format, Difficulty and How to Prepare
This guide is based on Palantir's published job descriptions and careers blog, along with publicly posted candidate accounts on Glassdoor. Official statements and candidate experiences are labelled separately throughout.
The Palantir FDE interview covers coding, system design, decomposition, and learning exercises, based on recent 2026 candidate reports. Palantir’s own recruitment material also emphasises technical problem-solving, communication, and adaptability, although the company does not publish a fixed interview loop for the role.
Please note: Palantir does not publish a fixed, stage-by-stage interview process for Forward Deployed Software Engineers. The process outlined in this guide is based on Palantir’s published information and publicly available candidate reports, with official information and candidate experiences clearly distinguished throughout.
What Palantir means by “forward deployed engineer”
Palantir created the Forward Deployed Engineer role around the idea of putting engineers directly in front of customer problems. Its current job descriptions describe FDEs as engineers who embed with customers, make architecture and design decisions, work with data at scale, build custom applications, and take projects from the first customer conversation through deployment.
Palantir’s careers blog describes the FDE model as enabling many capabilities for a single customer. A customer may come with a problem that starts with understanding its data. You could then need to integrate that data, design the system around it, build an application for the people using it, and take the solution into production. The work can span these areas because you are following the customer’s problem through to a working solution.
Palantir had also published an interesting piece on what a day of an FDSE looks like in their organization. The engineer featured worked on a terabyte-scale data pipeline, access controls, workflows for nontechnical users, and a production outage. Also, this was posted back in 2020, so the technologies and specific challenges may not reflect the role today, but it shows the kind of end-to-end customer work Palantir has associated with FDEs.
You might have also checked their careers page and have seen multiple names and openings for various regions. These are basically variations under FDE, like FDSE, forward deployment AI Engineer, forward deployment site reliability engineer, and many more.
And since each role has its specialized requirements, the experience level they need varies across these openings, so if you’re trying to work out where your experience fits, how software engineering levels usually map can help you position yourself against the role you’re applying for.
This article focuses on the Palantir FDSE interview, where you’ll need to work on ambiguous customer problems alongside the coding and system design expected in the process.
SCALER | 12 MONTH PROGRAM
AI Forward Deployed
Engineer Program
Full-stack engineering, production AI, and client-facing consulting — built around a real client engagement you run from first call to production scale.
ENROLL NOWHiring from this program
What Palantir publishes about its hiring process & what it doesn't
Palantir’s recruitment material describes the process at a high level. In its 2022 article, Pipeline to Prospect, the recruiting interns working at the company say recruiters read every application; reviews include the resume and application questions, and candidates who move forward may have a role-specific technical stage, such as a coding challenge or short presentation, followed by interviews. Candidates are also encouraged to think out loud, ask questions, and explain their observations during technical interviews.
But the most important thing that you need to keep in mind is that Palantir does not publish a stage-by-stage FDSE interview loop. So, the round-by-round process you’ll see online, including the breakdown in the next section, comes from candidate accounts. The number of rounds, the type of interview, and the order can vary between candidates, and we’ll keep those reports separate from what Palantir itself has published.
The Palantir FDE interview process: Stage by Stage
The sequence below is based on candidate experience posted on Glassdoor. It is not a process published by Palantir, and the reports do not describe an identical loop for every candidate. So, to learn more about the Palantir forward deployed engineer interview, you can use these accounts to understand the types of rounds that have appeared recently.
Recruiter screen: Motivation and Background
When we looked at the recent candidate reports, they describe the initial stage around background, interest in the role, and motivation.
A July 28, 2026 candidate in New York reported a headhunter discussion about their background and interest, followed by a recruiter screen covering the same areas. An August 23, 2026 candidate in London reported being asked why they wanted to become an FDE.
Palantir’s 2022 recruitment article also asks candidates to research the specific role, explain their interest in Palantir, and demonstrate individual impact, initiative, and independent thinking. The current London application asks candidates to describe something they have built that is important to them, including what they built, why they built it, and how they created it. Your preparation for the palantir interview process should cover these points with specific examples from your work, especially projects where you can explain what you owned, the decisions you made, and the outcome.
Build an AI-First Career, Master the Complete Skillset
Choose from our industry-leading programs designed for career success
Modern Software and AI Engineering Program
Master full-stack development with AI integration
+1000 moreModern Data Science and ML with specialisation in AI
Advanced data science techniques with AI specialization
+1000 moreAdvanced AIML with Specialisation in Agentic AI
Deep dive into AIML with focus on Agentic systems
+1000 moreDevOps, Cloud & AI Platform Engineering
Build and manage AI-powered cloud infrastructure
+1000 moreAI Engineering Advanced Certification by IIT-Roorkee
Premier AI engineering certification from IIT-Roorkee
AI Forward Deployed Engineer Program
Full-stack engineering, production AI and client-facing consulting
+1000 moreTechnical screen: Coding and communication
A July 15, 2026 candidate in New York described a roughly 50-minute technical interview involving a LeetCode-medium problem. An August 23, 2026 candidate in London reported a phone interview with string manipulation and graph problems and described the coding difficulty as on the easier side of medium. Another June 16, 2026 candidate in New York reported a HackerRank interview involving a larger code file with bugs to fix, followed by discussion of a recent project and implementation decisions.
The formats often differ, but you should not prepare for these rounds as silent coding exercises. As you solve, explain what you understand from the question, why you are choosing a particular approach, and how you are thinking about edge cases or changes to your approach. If you spot a problem in your first idea, say what changed and why you are adjusting it.
Make this part of your practice. Pick a medium-level problem, set a time limit, and solve it while explaining your reasoning out loud from the first few minutes through to testing the final code.
Onsite rounds: Coding, system design, decomposition, and learning
Candidates have also reported several technical interviews after the initial screens.
A July 28, 2026 candidate in New York reported three technical rounds covering DSA, system design, and an object-oriented graph-search problem, followed by a hiring-manager conversation.
A July 5, 2026 candidate reported an initial decomposition interview followed by three onsite interviews covering coding, learning, and decomposition, and then a hiring-manager round. Another candidate whose experience was posted in June 2026 after accepting an offer described a take-home Foundry project followed by virtual learning and decomposition interviews and a hiring-manager conversation.
Across these accounts, coding, system design, decomposition, and learning come up repeatedly, although the combination and order are not the same for every candidate.
Hiring manager conversation
The hiring-manager conversation appears mostly near the end.
The July 5, 2026 candidate described a discussion that went deeply into career motivations, while the June 2026 accepted-offer report described an open-ended conversation that also touched on decomposition and the candidate’s interest in the role.
For this round, prepare to discuss your previous work, the decisions you made, and why you want the role.
Timeline
The timing can vary across the process. A May 5, 2026 report mentions a three-week wait before hearing back from the recruiter, while a July 5, 2026 report mentions a rejection five weeks after the hiring-manager interview.
The number of interviews, gaps between rounds, and time taken for a final decision can all differ.
Here’s an overview:
| Stage | Typical length reported | What's being tested | Source type |
|---|---|---|---|
| Recruiter / initial screen | Not consistently reported | Background, motivation, and interest | Candidate reports; Palantir recruitment guidance |
| Technical screen | About 50 minutes in one July 2026 report | Coding and explaining the approach | Candidate report |
| Technical onsite | Multiple rounds in one day in several reports | Coding, system design, decomposition and/or learning | Candidate reports |
| Hiring manager | Not consistently reported | Background, motivation and open-ended discussion | Candidate reports |
| Overall timeline | Varies substantially | - | Candidate reports |
The Decomposition Round: What Candidates Under-Prepare For
Decomposition starts with a broad scenario and asks you to turn it into a workable technical plan. Candidates have described the Palantir decomposition interview as breaking down a general question, making assumptions about how to approach it, and designing a solution around a given scenario.
There is no public Palantir scoring rubric for this round, so the steps below are a practical way to structure your thinking, not an official framework.
1. Clarify the user and the problem
Start with the person or team that will use what you build. Ask what they are trying to do today, what is difficult about the current process, and what they need the solution to help them accomplish. For example, if the scenario is about helping a team find information faster, establish what information they need, where it currently lives, and what they would consider a successful result.
2. State your assumptions
The scenario may not tell you how much data you have, who can access it, how often it changes, or what systems are already in place. Pick reasonable assumptions and say them before you design around them. If you assume that the data is available through an existing system, for example, make that explicit so the interviewer can challenge or change the assumption.
3. Break the problem into buildable pieces
Take the requirement you have defined and work through what would need to exist for it to function. You might need a way to collect and store the data, connect it to other sources, process it, and present the result through an application or workflow. Talk through these pieces in the order you would tackle them.
4. Start with the smallest useful version
Pick the part that solves the most important user problem and describe what you would build first. If the full solution involves several data sources and a complex interface, the first version might use one reliable source and support one core workflow. Once that works, you can add more sources, users, or functionality based on what you learn.
5. Consider what could prevent it from working
Now test the solution against the conditions around it. The data might be incomplete, a source might stop updating, users might not have access to everything they need, or two teams might disagree about the required workflow. Explain what you would check and how you would change the design if one of those problems appeared.
Practice Scenario
Consider this scenario: A logistics company wants to reduce delivery delays. Build something that can help.
Firstly, do not immediately design a dashboard.
Start by asking who needs the solution. A dispatcher may need to identify deliveries at risk of being late, while an operations manager may care about broader patterns across routes.
Then define “delay.” Is the goal to identify deliveries likely to miss their promised time? Reduce average delivery time? Reduce the number of late deliveries?
Next, identify the available information. If the company has order data and vehicle-location data, an initial system might flag deliveries that appear likely to miss their promised time. That gives the team a narrow first version to build.
Only then should you discuss how the system could expand: better prediction, additional data sources, recommendations for dispatchers, or integration with existing workflows.
Finally, address failure cases. Location data may be missing. A prediction may be wrong. The person receiving the alert may not have permission to change the delivery. A technically sound system can still fail if it does not fit the customer's actual workflow.
In a DSA problem, you already know what you need to solve. In decomposition, the problem starts much more broadly, and you need to narrow it down before you start designing the solution.
Since you have to explain that process as you go, practising talking through problems out loud can help you get used to explaining your thinking while you work through a solution.
The Coding And Learning Rounds: What To Practise
Coding
The coding experiences above include a LeetCode-medium problem, string manipulation and graph questions, and a HackerRank exercise where the candidate had to find bugs in a larger code file. That gives you two concrete areas to practise: solving standard coding problems under time pressure and reading code that you did not write yourself.
For the first, solve problems on strings, graphs, arrays, and common data structures. For the second, take a small unfamiliar codebase, trace the execution, identify a bug, and explain the fix before making the change. In both cases, practise explaining your reasoning while you work, including why you chose the approach, its complexity, and how you would test it.
The Learning Round
Be a bit careful here because there’s a chance you might be asked something completely unfamiliar. In one experience, the candidate completed a take-home project on Palantir Foundry before the learning interview. In another, the candidate was given unfamiliar material and had to work through it during the interview.
You cannot prepare for the exact technology, but you can practise the underlying task. Pick a library, framework, or query language you have never used. Give yourself an hour to read its documentation and build a small working example. Start with the documentation itself and figure out the unfamiliar parts as you go.
In an FDSE role, you may have to work with a customer’s existing systems, data, and technical setup, including technologies you have not used before.
The Stack: Palantir's Job Descriptions Name
Palantir's current FDSE listings name Python, Java, C++, and TypeScript/JavaScript “or similar” and describe work involving large-scale data. These are the technologies the company explicitly lists, so make sure your fundamentals are solid in at least one of the named programming languages and that you can work comfortably with data.
If Python is your primary language, you can revise Python fundamentals and SQL and data querying alongside your interview practice.
How hard is the Palantir FDE interview?
People who have shared their experience have rated the difficulty differently. Most of the ratings are on the difficult side, although some describe the experience as average.
The coding questions themselves are not necessarily the hardest part. The examples include medium-level problems, but you can also move into system design, learning, and decomposition during the process. You need to switch between solving a defined coding problem and working through a problem where you have to decide what to ask, what to assume, and how to structure your answer.
If you are preparing for the interview, that means your practice cannot stop at DSA. You should also solve medium-level coding problems, read unfamiliar documentation, work through system-design scenarios, and speak through open-ended problems where you have to build the structure yourself.
If you want to generally practice, then you can check out these forward deployed engineer interview questions guide.
How Scaler Transformed Careers in Different Fields
Scaler learners achieved 2.5x salary growth with average post-Scaler CTC reaching ₹23L.
Google
Amazon
Microsoft
Flipkart
Adobe1200+ moreCan you get a Palantir FDE role from India?
As of September, 2026, Palantir’s public job board does not list an India-based FDSE or Forward Deployed Software Engineer position. The current board has openings across the US, Europe, the Middle East, and Asia-Pacific, including London, New York, Amsterdam, Munich, Sydney, Tokyo, Seoul, Abu Dhabi, and Dubai.
If you’re applying from India, you would currently be looking at a role tied to one of Palantir’s other office locations, so check the location and travel requirements before you start the process. Current FDSE listings include travel expectations ranging from 25-50% in some teams to 25-75% in others, and you’ll also need to check whether you can meet the role’s work-authorisation and visa requirements.
There is, however, Palantir-related work available in India. Current listings include Palantir Foundry Developer roles with employers such as Zorba AI in Pune and Infosys in Bengaluru. These positions involve Foundry, data engineering, Python, SQL, data pipelines, and client-facing work. These places are not really related to Palantir, but they offer similar roles that are worth checking out.
If you are preparing from India, the skills you build for this process still have a wider use. Working on ambiguity, end-to-end delivery, data, software engineering, and communicating technical decisions can carry into other engineering and enterprise-software roles. You can also read more about how a software engineering career path usually develops.
A Four-Week Preparation Plan
| Week | Focus | What to practise |
|---|---|---|
| Week 1 | Coding + communication | Medium-level coding problems; explain your approach before and during implementation |
| Week 2 | System design | Requirements, APIs, data flow, storage, scaling, and trade-offs |
| Week 3 | Decomposition | Open-ended scenarios; clarify requirements, state assumptions, and build an MVP aloud |
| Week 4 | Experience + learning | Project discussions, stakeholder examples, changing requirements, and learning unfamiliar tools |
Week 1: Coding and narration
Practice medium-level coding problems and stop treating the final code as the end of the exercise. Explain your reasoning while solving. Also practise debugging an existing codebase rather than only solving problems from a blank editor, since at least one recent candidate reported a debugging-style assessment.
Week 2: System design
Focus on turning requirements into a workable architecture. You should be comfortable discussing the main components, data flow, storage choices, and trade-offs without getting stuck on implementation details.
If system design is unfamiliar, use structured system design courses alongside the roadmap.
Week 3: Decomposition
Spend this week working through open-ended problems. Pick a scenario where the requirement is not obvious and practise asking questions before you start thinking about the solution. You can record yourself or work with someone else, then listen back and see whether you are jumping into implementation before you have understood the problem.
As you practise, make sure you can explain what you are solving, what you are assuming, what you would build first, and what could go wrong.
Week 4: Your own experience
Prepare three or four examples from your work:
- a project you owned from beginning to end;
- a situation involving a non-technical stakeholder;
- a project where requirements changed;
- a problem where you had to learn something unfamiliar.
Know the technical decisions behind each example. A candidate with strong project experience should be able to explain not only what they built, but why they chose a particular approach and what changed as they learned more.
Turn Learning into Career Growth
Conclusion
If you’re targeting an FDE role at Palantir, use the available interview experiences to decide where your preparation time is best spent. Keep your coding fundamentals strong, practise working through unfamiliar material, and spend time on open-ended problems where you have to work out the path yourself.
Before you apply, check the current opening as well, particularly its location, travel expectations, and work-authorisation requirements. For someone applying from India, that check can save you from spending weeks preparing for a role that may not currently be available in a workable location.
Check Out More FDE Company Guides and Career Reads
FAQs
How many rounds are in the Palantir FDE interview?
Recent candidate reports generally describe around four to five substantive stages, although some include an online assessment, headhunter screen, or take-home project in addition to the interview rounds. A July 2026 review from a candidate, for example, described recruiter stages, three technical interviews, and a hiring-manager conversation. This is candidate-reported, not a fixed Palantir process.
What is the Palantir decomposition round?
It is an open-ended problem-solving interview in which candidates report being given a broad scenario and asked to break it into a workable solution. The initial problem may not specify the requirements, users, or implementation boundaries, so candidates need to clarify the problem, state assumptions, and decide what should be built first.
Does Palantir ask LeetCode questions?
Candidates have reported LeetCode-style coding problems, often around medium difficulty. A July 2026 candidate described a LeetCode-medium technical interview, while another reported string and graph questions. These reports can help you understand the kinds of Palantir interview questions candidates have encountered, but they do not mean every candidate receives the same questions or platform.
How long does the Palantir hiring process take?
There is no published standard timeline for the FDSE process. Candidate reports from 2026 show substantial variation. One May 2026 candidate mentioned a three-week wait for recruiter follow-up, while a July 2026 candidate reported waiting five weeks after the hiring-manager interview before receiving a rejection.
What's the difference between FDE, FDSE, and Deployment Strategist at Palantir?
FDE is commonly used as shorthand for Forward Deployed Engineer, while FDSE refers specifically to Forward Deployed Software Engineer. Palantir's current job board uses the full Forward Deployed Software Engineer title for its software-engineering roles. Deployment Strategist appears as a separate role, so it should not be treated as another name for FDSE.
Does Palantir hire forward deployed engineers in India?
As of the September 2026 check used for this article, Palantir's public job board did not show an India-based FDSE opening. Its listings covered locations in North America, Europe, the Middle East, and Asia-Pacific. Because openings change, applicants should check the current job board before applying.
Do I need a data or maths background?
Not necessarily. Current Palantir FDSE listings name Computer Science, Mathematics, Software Engineering, Physics and Data Science among preferred fields, but the requirements vary by posting. The same listings also emphasise software engineering, data work, and the ability to build end-to-end solutions, so a mathematics or data-science degree is not presented as a universal requirement.
Preparing for interviews that test problem-solving and system design as much as coding? Explore Scaler Academy.
The interview-stage descriptions in this article come from publicly posted Glassdoor candidate accounts dated April to August 2026.
