As a Software Engineer at Niantic, you are at the intersection of cutting-edge augmented reality (AR) technology, planetary-scale infrastructure, and massive-scale social gaming. Your work directly impacts millions of users globally, shaping how they interact with both their physical environments and their digital communities. Whether you are working on the Lightship ARDK, optimizing game performance for Pokémon GO or Pikmin Bloom, or building out the backend systems that power real-world exploration, your contributions are core to Niantic's mission of using technology to encourage exercise, social interaction, and discovery. This role requires a high degree of technical versatility and a passion for solving complex, real-world problems. You will be expected to bridge the gap between high-level architectural design and low-level performance optimization. Success at Niantic means you aren't just writing code; you are building systems that must remain stable and engaging under the load of millions of concurrent users. You will collaborate closely with cross-functional teams, including product managers, designers, and infrastructure engineers, to push the boundaries of what is possible in the mobile and AR space. ##### Tip Niantic is a hybrid-first work environment, generally requiring employees to be in-office two days a week. Be prepared to discuss your ability to work within this model during your initial conversations with recruiters.
Initial Screening
reportedGauge your technical background and interest in the company.
What to demonstrate
- Gauge your technical background and interest in the company
- Depth in Algorithms
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 Phone/Video Screens
reportedParticipate in a mix of technical phone or video interviews.
What to demonstrate
- Participate in a mix of technical phone or video interviews
- Depth in Algorithms
How to prepare
- Answer aloud and timed: Determine if a sequence of brackets is balanced.
- Answer aloud and timed: Write an algorithm to solve a pathfinding problem on an n-ary tree.
Virtual Onsite Loop
reportedEngage in multiple back-to-back technical and behavioral interviews.
What to demonstrate
- Engage in multiple back-to-back technical and behavioral interviews
- Depth in Algorithms
How to prepare
- Answer aloud and timed: Calculate cumulative probabilities for a specific game mechanic.
- Answer aloud and timed: Explain your experience with Unity plugins or C# memory management.
PracHub editorial advice for the preparation topics above.
Think Out Loud
Never solve a problem in silence. Your interviewer needs to understand your thought process to evaluate your problem-solving style.
Follow Up
Given the potential for scheduling delays, take the initiative to follow up with your recruiter one week after each stage if you haven't heard back.
Prepare for Ambiguity
Niantic interviewers sometimes present problems with intentionally missing requirements to see how you clarify them. Always ask questions before you start coding.
Know Your Resume
Be prepared to dive deep into any project you list on your resume. You should be able to explain the architecture, the challenges, and the outcome of every project you mention.
Stay Professional
Regardless of how the interview is going, maintain a professional and collaborative attitude. Even if you encounter a difficult question, treat it as a collaborative problem-solving exercise.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Implement an LRU Cache.
Implement an LRU Cache.
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?
Solve a Linked List reversal or manipulation problem.
Solve a Linked List reversal or manipulation problem.
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?
Determine if a sequence of brackets is balanced.
Determine if a sequence of brackets is balanced.
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?
Write an algorithm to solve a pathfinding problem on an n-ary tree.
Write an algorithm to solve a pathfinding problem on an n-ary tree.
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?
Calculate cumulative probabilities for a specific game mechanic.
Calculate cumulative probabilities for a specific game mechanic.
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?
Keep soft-deleted accounts from blocking re-registration
app_user holds user_id, tenant_id, email CITEXT, password_hash (NULL for SSO principals), email_verified_at, auth_version, status ('invited','active','suspended','deactivated'), created_at, updated_at, deleted_at. Two live accounts for one address inside a tenant must be impossible, but an address freed by a soft delete must be reusable, and the same tenant may delete and re-register it repeatedly. Write the uniqueness DDL for PostgreSQL 16, then the equivalent for MySQL 8 where partial indexes do not exist, and say what each permits once three deleted rows already hold that address.
Approach
- Start from what is actually unique: not (tenant_id, email), but (tenant_id, email) among live rows. PostgreSQL says that directly — CREATE UNIQUE INDEX app_user_live_email ON app_user (tenant_id, email) WHERE deleted_at IS NULL. A full constraint over the same two columns burns the address permanently the first time someone deletes an account.
- Keep case-insensitivity in the type or the index, never in the application: CITEXT as given, or UNIQUE (tenant_id, lower(email)) as an expression index where the extension is unavailable. A case-sensitive unique column is exactly how two accounts for one human appear.
- For MySQL 8 the predicate has to move inside the key: add a discriminator column that is a constant 0 while the row is live and is set to user_id on delete, with UNIQUE (tenant_id, email, deleted_marker). Live rows share the constant and still collide; deleted rows differ from each other and stop colliding.
- State the NULL variant and its dependency: leaving the marker NULL for deleted rows also works, because a unique index treats NULLs as distinct — true in MySQL, and true in PostgreSQL only under the default NULLS DISTINCT, which PostgreSQL 15 lets you reverse. Check the polarity against the three existing deleted rows: constant-on-live is what preserves the collision you want, and reversing it silently admits duplicate live accounts.
Follow-up
- A deleted account re-registers with the same address the next day. Do the old resource rows follow the new user_id, and how does the API keep the two principals apart?
- How do you honour an erasure request while resource_revision.actor_user_id still references this table?
Write the update path that detects a concurrent edit
resource carries version INT NOT NULL DEFAULT 1. resource_revision holds revision_id, resource_id, version, actor_user_id, change_kind, patch JSONB, request_id, created_at with UNIQUE (resource_id, version). outbox_event holds aggregate_type, aggregate_id, aggregate_version, event_type, payload, status. A PUT carries the version the client read. Write the exact statements for the single transaction that applies the edit, records the revision and enqueues 'resource.updated', and give the handler's branch on zero affected rows. Then say what PostgreSQL 16 does under READ COMMITTED when two of these updates hit one row at once.
Approach
- One transaction, three writes, no network call inside it: UPDATE resource SET title = $3, version = version + 1, updated_at = now() WHERE resource_id = $1 AND tenant_id = $4 AND version = $2; then INSERT the resource_revision row at version $2 + 1; then INSERT the outbox_event row at the same aggregate_version. The event goes to a table rather than a broker because no transaction spans both.
- Branch on the affected-row count before doing anything else. Zero has three causes — stale version, wrong tenant, row gone — so re-read once and map to 409 carrying the current version, or 404 for an id outside the caller's tenant, which also stops the endpoint confirming that another tenant's id exists.
- State the engine behaviour instead of assuming it. Under READ COMMITTED the second UPDATE blocks on the row lock, and when the first commits PostgreSQL re-evaluates the WHERE clause against the newly committed row, so the version predicate now fails and the statement reports zero rows. Under REPEATABLE READ the identical collision raises SQLSTATE 40001 instead, so the handler must fold both shapes into one conflict response.
- Keep UNIQUE (resource_id, version) even though the predicate already serialises writers. It is what makes a lost update unwritable if any other path ever reaches the revision table, and it converts a logic bug into 23505 rather than into a silently missing history row.
Follow-up
- A client sends the version it read ten minutes ago and the resource has moved three versions. What is in your 409 so it can resolve the conflict without a full re-fetch?
- Two editors, two disjoint fields, no overlap. Does your answer still refuse the second write, and should it?
How would you design a system to handle high-frequency location data updates for millions of users?
How would you design a system to handle high-frequency location data updates for millions of users?
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?
Discuss the differences between various software design patterns and when to apply them.
Discuss the differences between various software design patterns and when to apply them.
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?
Explain the logic behind a specific machine learning classifier you have worked with.
Explain the logic behind a specific machine learning classifier you have worked with.
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?
Describe how you would optimize a front-end project to ensure smooth frame rates in an AR environment.
Describe how you would optimize a front-end project to ensure smooth frame rates in an AR environment.
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?
One log partition stops advancing while the others drain
Search results for a subset of tenants are hours stale; the rest are current. The projection consumer reports lag of zero on 15 of 16 partitions and 400,000 on one. Its error rate is flat and its CPU is idle. outbox_event has no pending rows older than a second, so the relay has published everything it holds. Identify the mechanism, give the ordered checks, and state what you do in the first ten minutes versus what you change permanently.
Approach
- Read the lag distribution first. A slow consumer lags everywhere; zero on fifteen partitions and 400,000 on one is not throughput. Idle CPU on the stuck partition means the consumer is not advancing its offset at all, which points at one message it cannot get past rather than at a rate problem.
- Exonerate the producer before touching the consumer. No pending outbox rows older than a second means the relay published, so the event exists in the log. This separates never sent from sent and never applied, which are different code paths and usually different owners.
- Read the message at the stuck offset and the handler's log lines for its event_id. A flat error rate with no progress has two explanations and you must distinguish them: the handler is throwing and the retry loop is swallowing it, or the handler is blocking on something and never returning. Idle CPU with no error lines favours the second.
- Mitigate before diagnosing further. Move the offending event to a dead-letter store and commit the offset past it. Adding consumers does nothing here, because a partition is consumed by exactly one member of the group, and the blast radius is every aggregate hashed to that partition, not only the aggregate that produced the bad event.
Follow-up
- The dead-lettered event carried aggregate_version 7 and the projection had applied 6. What must the replay do differently if 8 and 9 landed in the meantime?
- How do you show staleness to the user while the partition is behind, given the API already returns the projection's watermark?
Built from the rounds and topics Niantic candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the Niantic loop
- Write out the reported sequence: Initial Screening, Technical Phone/Video Screens, Virtual Onsite Loop.
- 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 Algorithms
- Spend the session on Algorithms, which Niantic candidates report being tested on.
- Write one worked example in Algorithms and time yourself on it.
Deliverable: One timed worked example in Algorithms.
03Work Coding Interviews
- Spend the session on Coding Interviews, which Niantic candidates report being tested on.
- Write one worked example in Coding Interviews and time yourself on it.
Deliverable: One timed worked example in Coding Interviews.
04Work Problem Solving
- Spend the session on Problem Solving, which Niantic candidates report being tested on.
- Write one worked example in Problem Solving and time yourself on it.
Deliverable: One timed worked example in Problem Solving.
05Answer out loud: Coding & Algorithms
- Answer aloud, timed: Implement an LRU Cache.
- Answer aloud, timed: Solve a Linked List reversal or manipulation problem.
Deliverable: Spoken answers to 2 reported Coding & Algorithms question(s), under time.
06Answer out loud: Technical Domain & System Design
- Answer aloud, timed: Explain your experience with Unity plugins or C# memory management.
- Answer aloud, timed: How would you design a system to handle high-frequency location data updates for millions of users?
Deliverable: Spoken answers to 2 reported Technical Domain & System Design question(s), under time.
07Answer out loud: Behavioral & Leadership
- Answer aloud, timed: Why do you want to work on Niantic’s specific products or mission?
- Answer aloud, timed: Tell me about a time you had to resolve a technical disagreement with a teammate.
Deliverable: Spoken answers to 2 reported Behavioral & Leadership 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.
Explain your experience with Unity plugins or C# memory management.
Explain your experience with Unity plugins or C# memory management.
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 on Niantic’s specific products or mission?
Why do you want to work on Niantic’s specific products or mission?
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 had to resolve a technical disagreement with a teammate.
Tell me about a time you had to resolve a technical disagreement with a teammate.
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 situations where project requirements are vague or changing?
How do you handle situations where project requirements are vague or changing?
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?
What do you look for in a team and how do you contribute to a positive culture?
What do you look for in a team and how do you contribute to a positive culture?
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
Explain your experience with Unity plugins or C# memory management.
- 02
Why do you want to work on Niantic’s specific products or mission?
- 03
Tell me about a time you had to resolve a technical disagreement with a teammate.
- 04
How do you handle situations where project requirements are vague or changing?
How long should I prepare for the interview?
Most successful candidates spend 2–4 weeks of focused preparation. Prioritize LeetCode-style practice for the technical screens and prepare 3–4 "STAR" format stories for the behavioral rounds.
Niantic Software Engineer candidate reports ↗What differentiates a "strong hire" from a "marginal" one?
Strong hires demonstrate not just the ability to write code, but the ability to communicate their thought process clearly, ask clarifying questions, and show a deep interest in the "why" behind the technical solution.
Niantic Software Engineer candidate reports ↗Is the interview process the same for every location?
While the core technical assessment (like the coding screen) is often standardized, the onsite loop may vary slightly by team and location. Always ask your recruiter for the specific format of your interview loop.
Niantic Software Engineer candidate reports ↗What is the culture like at Niantic?
Employees often describe the culture as passionate and mission-driven. The team values curiosity, and you will find many colleagues who are genuinely excited about the impact of AR technology on society.
Niantic Software Engineer candidate reports ↗What topics does Niantic test in interviews?
Niantic interviews most often cover Data Structures, Algorithms, Product Sense, Problem Solving, and Technical Communication. The exact emphasis depends on the specific role you apply for.
Niantic 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.
- 01Niantic 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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