As a Software Engineer at Fictiv, you are at the intersection of digital transformation and physical manufacturing. You will be building the core infrastructure that powers a global, on-demand manufacturing platform, connecting engineers and product designers with high-quality, reliable manufacturing capacity. Your work directly impacts how physical goods—from prototypes to production-grade parts—are brought to life, making your software the backbone of a complex, logistics-heavy supply chain. This role is critical because it demands both technical rigor and an ability to navigate the ambiguity of a fast-paced, scaling company. You will likely contribute to full-stack development, optimizing backend systems for complex manufacturing workflows or enhancing frontend interfaces to improve the user experience for our manufacturing partners. Whether you are working on the AI Team or core product engineering, you are expected to solve problems that bridge the gap between abstract code and tangible, physical output. ##### Tip Fictiv values transparency and collaboration; interviewers often look for engineers who are not just experts in their stack, but who are genuinely curious about the manufacturing ecosystem and the "why" behind the code.
Initial Screening
reportedThe first step involves a preliminary assessment to gauge candidate fit and qualifications.
What to demonstrate
- The first step involves a preliminary assessment to gauge candidate fit and qualifications
- Depth in Data Structures & Algorithms (DSA)
How to prepare
- Be able to walk your CV end to end in two minutes, and say why this company specifically.
- Have your salary expectations, notice period and location constraints ready, and ask for the rest of the loop in writing.
Technical Deep-Dive
reportedCandidates engage in coding and system design assessments to evaluate technical skills.
What to demonstrate
- Candidates engage in coding and system design assessments to evaluate technical skills
- Depth in Data Structures & Algorithms (DSA)
How to prepare
- Answer aloud and timed: Solve a classic LeetCode-style problem involving arrays or string manipulation.
- Answer aloud and timed: Describe how you handle memory management in your preferred language.
Values and Team Fit
reportedA conversation focused on cultural alignment and how the candidate's values align with the team.
What to demonstrate
- A conversation focused on cultural alignment and how the candidate's values align with the team
- Depth in Data Structures & Algorithms (DSA)
How to prepare
- Prepare three examples from your own work, each with a decision you made and an outcome you can quantify.
- Re-read the description of the values and team fit above and write down what you would ask to confirm before it.
PracHub editorial advice for the preparation topics above.
Do your research
Understand what Fictiv does. Being able to explain how your code helps a customer get a part manufactured faster will set you apart from other candidates.
Practice your "Why
Be prepared to explain your career choices and why you are interested in the manufacturing space.
Ask great questions
Use the time at the end of the interview to ask about the team's biggest technical challenges or how they balance quality with speed.
Be proactive
If you experience technical issues (like a bad connection), communicate clearly and ask for an alternative, as shown in successful candidate experiences.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Explain the difference between process and threads.
Explain the difference between process and threads.
Approach
- Say what the runtime actually does before reasoning about the code.
- Name what is shared across threads and what owns each piece of state.
- Identify the window where an invariant is briefly untrue.
- Distinguish a value from a reference to it, and say which one you handed out.
Follow-up
- What happens if two callers reach this at the same time?
- Where could this allocate more than you expect?
Solve a classic LeetCode-style problem involving arrays or string manipulation.
Solve a classic LeetCode-style problem involving arrays or string manipulation.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
Describe how you handle memory management in your preferred language.
Describe how you handle memory management in your preferred language.
Approach
- Say what the runtime actually does before reasoning about the code.
- Name what is shared across threads and what owns each piece of state.
- Identify the window where an invariant is briefly untrue.
- Distinguish a value from a reference to it, and say which one you handed out.
Follow-up
- What happens if two callers reach this at the same time?
- Where could this allocate more than you expect?
How would you optimize a slow-running SQL query?
How would you optimize a slow-running SQL query?
Approach
- Name the grain you start from and join outward from it.
- Check whether any join is one-to-many before aggregating, or the sums inflate.
- Say which index the query would use, and what makes it unusable.
- Handle the rows that do not match: that is usually the actual question.
Follow-up
- How does the query change if that join becomes one-to-many?
- What happens to this when the table is ten times larger?
Explain why the owner filter ignores the listing index
The only index on resource is (tenant_id, status, updated_at DESC, resource_id DESC). A new endpoint returns one user's resources across all statuses, newest created first: WHERE tenant_id = $1 AND owner_user_id = $2 ORDER BY created_at DESC LIMIT 20. On a tenant with 2M rows it takes 900 ms and EXPLAIN shows a sort above a large scan. Explain precisely why the existing index cannot serve it, give the index that can, and state which of these the new index still will not help: owner_user_id alone across tenants; the same query ordered by updated_at. PostgreSQL 16.
Approach
- Separate the two jobs an index does. For filtering, a composite btree is seekable only on a left prefix, so with no predicate on status the scan can at best range over tenant_id and test owner_user_id per row; PostgreSQL 16 has no btree skip scan to jump the unconstrained column.
- For ordering, the index is sorted by (status, updated_at) within a tenant and not by created_at, so the LIMIT cannot stop early: every matching row is read and then sorted. That is the 'Sort Method: top-N heapsort' line, and it is why the plan reads 2M rows to answer with 20.
- Derive the replacement from the access path — equality, equality, then the ordering column: CREATE INDEX CONCURRENTLY ON resource (tenant_id, owner_user_id, created_at DESC). The scan seeks to the (tenant, owner) range and walks 20 entries in order, so the Sort node disappears along with the row-read.
- Treat INCLUDE (title, status) as conditional, not free. An index-only scan still visits the heap for any row whose page is not marked all-visible, so on a table taking 1.2k writes/second the win depends on autovacuum keeping the visibility map current, and the wider index costs more on every insert.
Follow-up
- 90% of rows are status='active'. Would a partial index WHERE status = 'active' change your answer, and for which of the three queries?
- A dashboard runs this for 40 owners in one page load. What changes about the design?
Explain the principles of RESTful API design.
Explain the principles of RESTful API design.
Approach
- Say who the caller is and what they do when the call fails halfway.
- Define the identity of a request so a retry cannot double-apply it.
- Separate accepted, pending, failed and confirmed; they are different facts.
- Design the error taxonomy before the success shape; callers branch on it.
Follow-up
- What happens if the caller retries after a timeout?
- How does a client discover it is on an old version of this contract?
Design a URL shortening service or a simplified version of a file-upload system.
Design a URL shortening service or a simplified version of a file-upload system.
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- State the consistency you need, and where you are willing to be stale.
Follow-up
- What breaks first when traffic grows ten times?
- How does this behave when that dependency is down for an hour?
How would you design a system that handles asynchronous task processing?
How would you design a system that handles asynchronous task processing?
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- State the consistency you need, and where you are willing to be stale.
Follow-up
- What breaks first when traffic grows ten times?
- How does this behave when that dependency is down for an hour?
How do you ensure data consistency in a distributed system?
How do you ensure data consistency in a distributed system?
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- State the consistency you need, and where you are willing to be stale.
Follow-up
- What breaks first when traffic grows ten times?
- How does this behave when that dependency is down for an hour?
Walk me through how you would debug a production service that is experiencing high latency.
Walk me through how you would debug a production service that is experiencing high latency.
Approach
- Establish what changed and when, before forming any theory.
- Pick a bisection that eliminates candidates whichever way it turns out.
- Check the instrumentation before believing the symptom.
- Separate the trigger from the cause; the deploy is rarely the bug.
Follow-up
- What would you look at first, and what would it rule out?
- How would you tell a cause from a coincidence here?
Given a broken piece of code, identify the bug and suggest a fix.
Given a broken piece of code, identify the bug and suggest a fix.
Approach
- Establish what changed and when, before forming any theory.
- Pick a bisection that eliminates candidates whichever way it turns out.
- Check the instrumentation before believing the symptom.
- Separate the trigger from the cause; the deploy is rarely the bug.
Follow-up
- What would you look at first, and what would it rule out?
- How would you tell a cause from a coincidence here?
Built from the rounds and topics Fictiv candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the Fictiv loop
- Write out the reported sequence: Initial Screening, Technical Deep-Dive, Values and Team Fit.
- For each round, write one sentence on what it is judging, from the description above, and mark the one you are least ready for.
Deliverable: A one-page map of the 3 reported rounds, with the weakest marked.
02Work Data Structures & Algorithms (DSA)
- Spend the session on Data Structures & Algorithms (DSA), which Fictiv candidates report being tested on.
- Write one worked example in Data Structures & Algorithms (DSA) and time yourself on it.
Deliverable: One timed worked example in Data Structures & Algorithms (DSA).
03Work Debugging (code-level)
- Spend the session on Debugging (code-level), which Fictiv candidates report being tested on.
- Write one worked example in Debugging (code-level) and time yourself on it.
Deliverable: One timed worked example in Debugging (code-level).
04Work Coding (hands-on / live coding)
- Spend the session on Coding (hands-on / live coding), which Fictiv candidates report being tested on.
- Write one worked example in Coding (hands-on / live coding) and time yourself on it.
Deliverable: One timed worked example in Coding (hands-on / live coding).
05Answer out loud: Technical & Coding Fundamentals
- Answer aloud, timed: Explain the difference between process and threads.
- Answer aloud, timed: How would you optimize a slow-running SQL query?
Deliverable: Spoken answers to 2 reported Technical & Coding Fundamentals question(s), under time.
06Answer out loud: System Design & Debugging
- Answer aloud, timed: Design a URL shortening service or a simplified version of a file-upload system.
- Answer aloud, timed: Walk me through how you would debug a production service that is experiencing high latency.
Deliverable: Spoken answers to 2 reported System Design & Debugging question(s), under time.
07Answer out loud: Behavioral & Values
- Answer aloud, timed: Tell me about a time you had a technical disagreement with a teammate; how was it resolved?
- Answer aloud, timed: Why do you want to work at Fictiv specifically?
Deliverable: Spoken answers to 2 reported Behavioral & Values question(s), under time.
Expand any day for tasks and deliverables. Your progress is saved on this device.
Behavioural rounds judge the decision you made and what it cost.
Tell me about a time you had a technical disagreement with a teammate; how was it resolved?
Tell me about a time you had a technical disagreement with a teammate; how was it resolved?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
Why do you want to work at Fictiv specifically?
Why do you want to work at Fictiv specifically?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
Describe a challenging project where you had to learn a new technology on the fly.
Describe a challenging project where you had to learn a new technology on the fly.
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
How do you handle feedback from non-technical stakeholders?
How do you handle feedback from non-technical stakeholders?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
Tell me about a time you missed a deadline or failed to deliver; what did you learn?
Tell me about a time you missed a deadline or failed to deliver; what did you learn?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
- 01
Tell me about a time you had a technical disagreement with a teammate; how was it resolved?
- 02
Why do you want to work at Fictiv specifically?
- 03
Describe a challenging project where you had to learn a new technology on the fly.
- 04
How do you handle feedback from non-technical stakeholders?
How difficult are the technical rounds?
Most candidates find the difficulty to be average. The questions are generally fair and focused on practical application rather than obscure algorithmic puzzles.
Fictiv Software Engineer candidate reports ↗What is the typical timeline from application to offer?
The process can move quickly, sometimes within a few weeks, but it is highly dependent on team needs. Always ask your recruiter for an estimated timeline at the end of your first screen.
Fictiv Software Engineer candidate reports ↗Is there a specific focus for the Senior Software Engineer role?
For Senior roles, expect a much heavier emphasis on system design, mentorship, and the ability to drive projects independently from conception to deployment.
Fictiv Software Engineer candidate reports ↗What if I don't hear back after an interview?
While the goal is a prompt response, if you don't hear back within a week, it is perfectly acceptable to send a professional follow-up email to your recruiter.
Fictiv Software Engineer candidate reports ↗How many interview rounds does Fictiv have for a Software Engineer?
For Fictiv Software Engineer interviews, candidates report 9 interviews total. The process includes an Initial Screening, a Technical Deep-Dive, and a Values and Team Fit conversation.
Fictiv Software Engineer candidate reports ↗What does the Fictiv Software Engineer interview process test, and what topics should I prioritize?
You should expect both hands-on coding and system thinking. The most frequently tested topics include Data Structures and Algorithms (DSA), coding with live/hands-on problems, debugging at the code level, and problem solving. Full-stack engineering is also reflected in the focus areas, including front-end and back-end development and front-end debugging.
Fictiv Software Engineer candidate reports ↗What kinds of technical questions show up for Fictiv Software Engineer interviews?
Interview questions can include system design comparisons like Monolith vs Microservices and discussions of Tech Stack and Tooling. The broader technical pattern also emphasizes RESTful API design, optimizing slow SQL queries, debugging production latency, and finding bugs in broken code with a suggested fix.
Fictiv Software Engineer candidate reports ↗Is the Fictiv Software Engineer interview considered hard, based on candidate reports?
Candidates most commonly report the Fictiv Software Engineer interview difficulty as average. With a consistent multi-domain process, performance across coding, debugging, and values is important.
Fictiv Software Engineer candidate reports ↗How long is the Fictiv Software Engineer interview loop and what should I do about scheduling?
The typical flow is Initial Screening, then technical assessments in a Technical Deep-Dive, followed by Values and Team Fit. Some candidates have reported scheduling issues or lack of communication, so confirm interview times proactively and follow up professionally if you have not heard back within the expected window.
Fictiv Software Engineer candidate reports ↗Sources & methodology 3 sources ↗
No official company page is cited. Rounds and questions come from candidate reports and PracHub editorial material; each source shows the date it was read.
- 01Fictiv Software Engineer candidate reports ↗
Company-reported rounds, questions and FAQ.
Candidate reports · Accessed 2026-09-22 - 02PracHub Software Engineer practice ↗
PracHub practice material, not company-reported.
PracHub page · Accessed 2026-09-22 - 03PracHub preparation framework ↗
PracHub preparation guidance.
PracHub page · Accessed 2026-09-22
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