A Software Engineer at NYU (New York University) plays a pivotal role in developing innovative software solutions that enhance educational experiences and operational efficiencies across the university's diverse departments. This position is critical for building applications that support teaching, learning, research, and administrative functions. As a Software Engineer, you will be part of teams tasked with tackling complex problems, implementing scalable systems, and ensuring seamless user experiences for students, faculty, and staff. You will work on projects that may include developing web applications for course management, supporting research initiatives with custom software tools, and enhancing data systems for better decision-making processes. The impact of your work extends beyond technical execution; it fosters collaboration and innovation within the university's academic and operational frameworks. Expect to engage with cutting-edge technologies and contribute to initiatives that shape the future of education at NYU.
Initial Phone Screening
reportedBrief discussion of your background and motivations for applying.
What to demonstrate
- Brief discussion of your background and motivations for applying
- Depth in Coding interviews (problem-solving with code)
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 Assessments
reportedDeep dive into your technical skills through coding challenges or assessments.
What to demonstrate
- Deep dive into your technical skills through coding challenges or assessments
- Depth in Coding interviews (problem-solving with code)
How to prepare
- Answer aloud and timed: Describe a challenging technical problem you encountered and how you resolved it.
- Answer aloud and timed: How do you ensure code quality and maintainability in your projects?
Interviews with Team Members
reportedInterviews focusing on problem-solving abilities and collaboration skills.
What to demonstrate
- Interviews focusing on problem-solving abilities and collaboration skills
- Depth in Coding interviews (problem-solving with code)
How to prepare
- Answer aloud and timed: What tools do you use for version control and collaboration?
- Answer aloud and timed: Write a function to reverse a linked list.
Interviews with Leadership
reportedFinal interviews assessing cultural fit and overall potential within the team.
What to demonstrate
- Final interviews assessing cultural fit and overall potential within the team
- Depth in Coding interviews (problem-solving with code)
How to prepare
- Answer aloud and timed: How would you implement a queue using two stacks?
- Answer aloud and timed: Explain the time complexity of your solution for a specific algorithm.
PracHub editorial advice for the preparation topics above.
Understand NYU’s Mission
Familiarize yourself with NYU's values and educational mission. Tailor your answers to reflect how you can contribute to these goals.
Practice Coding Problems
Make use of platforms like LeetCode or HackerRank to refine your coding skills. Focus on common data structures and algorithms.
Prepare for Behavioral Questions
Reflect on your past experiences and how they relate to the role. Use the STAR (Situation, Task, Action, Result) method to structure your responses.
Ask Insightful Questions
Prepare questions for your interviewers that show your enthusiasm for the role and your interest in the team dynamics.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Write a function to reverse a linked list.
Write a function to reverse a linked list.
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?
How would you implement a queue using two stacks?
How would you implement a queue using two stacks?
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?
Explain the time complexity of your solution for a specific algorithm.
Explain the time complexity of your solution for a specific algorithm.
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?
Provide a code solution for finding the longest common prefix among an array of strings.
Provide a code solution for finding the longest common prefix among an array of strings.
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 would approach optimizing an algorithm for speed.
Describe how you would approach optimizing an algorithm for speed.
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?
What programming languages are you proficient in, and how have you applied them in your previous roles?
What programming languages are you proficient in, and how have you applied them in your previous roles?
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
Can you explain the difference between object-oriented programming and functional programming?
Can you explain the difference between object-oriented programming and functional programming?
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
Describe a challenging technical problem you encountered and how you resolved it.
Describe a challenging technical problem you encountered and how you resolved it.
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
How do you ensure code quality and maintainability in your projects?
How do you ensure code quality and maintainability in your projects?
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
What tools do you use for version control and collaboration?
What tools do you use for version control and collaboration?
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
How would you approach gathering requirements for a new software project?
How would you approach gathering requirements for a new software project?
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
Imagine you need to improve the performance of an existing application; what steps would you take?
Imagine you need to improve the performance of an existing application; what steps would you take?
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
Describe how you would handle a situation where a project is falling behind schedule.
Describe how you would handle a situation where a project is falling behind schedule.
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
What would you do if you discovered a critical bug in a live system?
What would you do if you discovered a critical bug in a live system?
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
Read latency spikes on a sixty-second sawtooth
The cached listing read path serves about 14k reads/second at an 85% hit rate. p99 sits at 35 ms for 57 seconds, jumps to 900 ms for 3, and repeats. During each spike the primary shows several hundred identical listing queries starting within the same millisecond, all carrying one large tenant's id. Cache entries use a 60-second TTL. Give the mechanism, the ordered checks, the fix, and the correctness hazard your fix must not introduce.
Approach
- Match the period to a configured number before theorising about load. A spike every 60 seconds against a 60-second TTL is an entry expiring, and you confirm it by correlating spike timestamps with the entry's write time rather than with the traffic curve. If the period had matched a cron or a GC interval instead, this is a different investigation.
- Establish the concurrency of the miss. Several hundred identical queries in one millisecond means the miss path has no coalescing: every request that arrives between expiry and repopulation recomputes. The herd size is that key's arrival rate times its recompute time, so at 1.2k reads/second for the hot key and a 250 ms recompute you expect about 300 concurrent misses, which matches what is observed.
- Add single-flight on the miss path so one caller per key recomputes under a short-lived lock while the rest wait for its result. Prefer stale-while-revalidate where the read tolerates it: return the expired value immediately and refresh asynchronously, which removes the latency spike rather than serialising it into a queue of waiters.
- De-synchronise the keys. Write TTLs with jitter, for example 60 seconds plus or minus 10%, so a deploy or a mass invalidation does not align every key on the same second and turn a per-key herd into a fleet-wide one.
Follow-up
- The same sawtooth appears on a key that is invalidated on write rather than expired. Is that the same bug?
- How does your answer change if the recompute takes 4 seconds instead of 250 ms?
Built from the rounds and topics NYU (New York University) candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the NYU (New York University) loop
- Write out the reported sequence: Initial Phone Screening, Technical Assessments, Interviews with Team Members, Interviews with Leadership.
- 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 4 reported rounds, with the weakest marked.
02Work Coding interviews (problem-solving with code)
- Spend the session on Coding interviews (problem-solving with code), which NYU (New York University) candidates report being tested on.
- Write one worked example in Coding interviews (problem-solving with code) and time yourself on it.
Deliverable: One timed worked example in Coding interviews (problem-solving with code).
03Work Algorithm/data-structure style problem solving (implied by coding questions)
- Spend the session on Algorithm/data-structure style problem solving (implied by coding questions), which NYU (New York University) candidates report being tested on.
- Write one worked example in Algorithm/data-structure style problem solving (implied by coding questions) and time yourself on it.
Deliverable: One timed worked example in Algorithm/data-structure style problem solving (implied by coding questions).
04Work Technical interviews focused on implementation
- Spend the session on Technical interviews focused on implementation, which NYU (New York University) candidates report being tested on.
- Write one worked example in Technical interviews focused on implementation and time yourself on it.
Deliverable: One timed worked example in Technical interviews focused on implementation.
05Answer out loud: Technical / Domain Questions
- Answer aloud, timed: What programming languages are you proficient in, and how have you applied them in your previous roles?
- Answer aloud, timed: Can you explain the difference between object-oriented programming and functional programming?
Deliverable: Spoken answers to 2 reported Technical / Domain Questions question(s), under time.
06Answer out loud: Coding / Algorithms
- Answer aloud, timed: Write a function to reverse a linked list.
- Answer aloud, timed: How would you implement a queue using two stacks?
Deliverable: Spoken answers to 2 reported Coding / Algorithms question(s), under time.
07Answer out loud: Behavioral / Leadership
- Answer aloud, timed: Tell me about a time you demonstrated leadership in a project.
- Answer aloud, timed: How do you handle conflicts within a team?
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.
Tell me about a time you demonstrated leadership in a project.
Tell me about a time you demonstrated leadership in a project.
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 conflicts within a team?
How do you handle conflicts within a team?
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 situation where you had to adapt to significant changes at work.
Describe a situation where you had to adapt to significant changes at work.
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 prioritize tasks when working on multiple projects?
How do you prioritize tasks when working on multiple projects?
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 motivates you to do your best work?
What motivates you to do your best work?
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?
Discuss a time when you had to make a decision with incomplete information.
Discuss a time when you had to make a decision with incomplete information.
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 demonstrated leadership in a project.
- 02
How do you handle conflicts within a team?
- 03
Describe a situation where you had to adapt to significant changes at work.
- 04
How do you prioritize tasks when working on multiple projects?
How difficult are the interviews, and how much preparation time is typical?
The interviews for the Software Engineer position at NYU can be moderately challenging, especially the technical assessments. Candidates typically spend 2–4 weeks preparing, focusing on coding challenges and system design principles.
NYU (New York University) Software Engineer candidate reports ↗What differentiates successful candidates?
Successful candidates often demonstrate a strong blend of technical skills, a collaborative mindset, and a clear understanding of NYU's mission and values. Being able to articulate how your experiences align with the university's goals can set you apart.
NYU (New York University) Software Engineer candidate reports ↗What is the culture and working style like at NYU?
NYU fosters a collaborative and innovative culture where teamwork and open communication are highly valued. Engineers are encouraged to share ideas and work together to solve complex problems that impact the university community.
NYU (New York University) Software Engineer candidate reports ↗What is the typical timeline from initial screen to offer?
The timeline can vary, but candidates generally receive feedback within 2–4 weeks after the initial interview. The process may take longer depending on the number of candidates being considered.
NYU (New York University) Software Engineer candidate reports ↗Are there remote work or hybrid expectations?
NYU has adopted a flexible approach to work arrangements, allowing for remote and hybrid options depending on departmental policies and project needs.
NYU (New York University) Software Engineer candidate reports ↗What topics does NYU (New York University) test in interviews?
NYU (New York University) interviews most often cover Data Analysis, Behavioral Interviewing, Problem Solving, Communication Skills, and Communication of Analytical Findings. The exact emphasis depends on the specific role you apply for.
NYU (New York University) 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.
- 01NYU (New York University) 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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