The Interview Loop, Stage by Stage
Every round you'll face - and exactly how to prepare for each
The loop at a glance
After this you can name every stage and its purpose in order.
Before you draft a single answer, hold the whole shape in your head. The Software Engineer, Infrastructure loop at Cursor runs the standard engineering stages, then ends on something most companies don't do at all: a two-day on-site project where you build alongside the team and present at the end.
Read the loop as one continuous claim that you can operate the foundation under a product serving 1M+ daily active users - cloud, networking, Kubernetes, edge and cost - as a functioning senior IC from week one. Each stage tests a slice of that claim. Two stages are unusual at Cursor: the first technical screens forbid AI beyond editor autocomplete and the final round is a real build with the team rather than a whiteboard.
Interactive diagram. Tab through its regions; each focused region shows its detail in the panel below.
Step through each stage to see what it tests and how to prep. Stage count and naming vary by level - confirm yours with the recruiter.
- 1Recruiter screen (~30 min). Background, why Cursor, why infrastructure and which part of the stack pulls you. Fit and signal-gathering.
- 2Technical phone screen (~60 min). One medium-hard coding problem with no AI except autocomplete, in TypeScript, Go, Rust or Python.
- 3Take-home (~4-8 hrs, often senior/staff). A realistic infra or systems problem meant to give meaningful signal on how you actually engineer.
- 4On-site technical rounds. A coding round, an infrastructure system-design round and a deep-dive on your past infra work.
- 5Behavioral / hiring-manager round. Bar-awareness, comfort with pace, craft orientation and truth-seeking.
- 62-day on-site project. The decision round: build something real with the team, share meals and present at the end.
Cursor runs roughly a four-to-five stage loop, with the on-site project as the decisive round rather than a formality. Plan your energy across the full span. The two-day project alone is a serious time commitment, so don't stack it on top of a crunch at your current job.
- Stage
- Recruiter screen
- Rough time
- ~30 min
- What it tests
- Motivation, infra focus, Cursor knowledge
- Stage
- Technical phone screen
- Rough time
- ~60 min
- What it tests
- Raw coding fundamentals, no AI crutch
- Stage
- Take-home (senior)
- Rough time
- 4-8 hrs
- What it tests
- Realistic engineering, production habits
- Stage
- On-site technical
- Rough time
- Several hrs
- What it tests
- Coding, infra system design, past-work depth
- Stage
- Behavioral / HM
- Rough time
- 45-60 min
- What it tests
- Pace fit, craft, truth-seeking, judgment
- Stage
- 2-day on-site project
- Rough time
- ~2 days
- What it tests
- How you actually work; genuine passion
| Stage | Rough time | What it tests |
|---|---|---|
| Recruiter screen | ~30 min | Motivation, infra focus, Cursor knowledge |
| Technical phone screen | ~60 min | Raw coding fundamentals, no AI crutch |
| Take-home (senior) | 4-8 hrs | Realistic engineering, production habits |
| On-site technical | Several hrs | Coding, infra system design, past-work depth |
| Behavioral / HM | 45-60 min | Pace fit, craft, truth-seeking, judgment |
| 2-day on-site project | ~2 days | How you actually work; genuine passion |
Times are approximate; stage count and naming vary by level - confirm specifics with your recruiter.
The early technical screens ban AI beyond autocomplete, which inverts the modern norm and puts your unaided fundamentals on display. And the decision round is a two-day build with the team instead of a whiteboard. Both are deliberate filters: one for raw skill, one for whether you actually want this job.
Exact stage count and naming shift by level and recruiter. A staff candidate may get the take-home where a mid-level candidate skips it. Treat this as the modal path and confirm your specific schedule with your recruiter early, so you prepare for the rounds you'll actually face.
Takeaway. A four-to-five stage loop - recruiter, a no-AI coding screen, an optional take-home, on-site technical rounds, behavioral and a decisive 2-day on-site build.
Self-check
QWhich round actually decides the Infrastructure hire at Cursor and what makes its format distinctive?
Recruiter screen: motivation and fit
After this you can pass the screen by showing genuine infra motivation and real Cursor knowledge.
The recruiter screen runs about 30 minutes and sorts for two things: a specific reason you want this infrastructure role and evidence that you actually use and care about Cursor. It's informal, but the non-generic candidates are the ones who advance.
Expect questions on your background, why Cursor, why infrastructure and which part of the stack interests you. The trap is answering at the altitude of every other candidate. "I like scale" and "I want to work on hard problems" tell the recruiter nothing - anchor to a layer and a reason.
- Why infra
- Name a layer you're drawn to: VPC networking, EKS at scale, edge abuse-protection or cost attribution - and why.
- Why Cursor
- Tie it to the stakes: foundation under 1M+ DAUs where latency, cost and abuse are first-order business problems.
- Product use
- You actually use Cursor; you can name an infra-adjacent thing you admire or would change.
- Headline story
- One at-scale infra win you can summarize in 90 seconds with a real before/after number.
Cursor is a small, flat, talent-dense team where every hire ships from week one. The recruiter is partly reading whether you're calibrated to that pace and whether your motivation will survive contact with the actual work.
"I love distributed systems" and "I want impact" are non-answers because every candidate says them. Anchor to something concrete you can only say if you've thought about Cursor: the latency characteristics of an AI editor, the cost shape of GPU-backed inference or an abuse vector an editor at this scale has to defend. Specificity is the whole signal here.
"I've used Cursor daily for about a year and what hooks me is the latency - completions feel instant and that's an infrastructure achievement at this scale, not just a model choice. The networking and edge layer under a 1M-DAU developer tool is exactly the work I want: multi-region latency budgets, abuse protection and cost are the business, not background noise. I've owned VPC and EKS at scale before and I want to do it where it matters this much."
- Have your 90-second at-scale infra story rehearsed out loud, with the metric and how you measured it.
- Be ready to name the specific infra layer you want and why it fits your strengths.
- Bring one honest question about the infra roadmap or team shape - it signals you're evaluating them too.
Takeaway. Walk in with a layer-specific reason you want Cursor infra, proof you use the product and one 90-second at-scale story with a real number.
Self-check
The no-AI technical screen
After this you can prepare to code a medium-hard problem with no AI beyond autocomplete.
This is the screen people underprepare for. About 60 minutes, one medium-hard problem and no AI beyond editor autocomplete. As CEO Michael Truell put it, "programming without AI is still a really great time-boxed test for skill and intelligence."
If you've spent the last year letting an agent draft your loops and your data structures, this screen will expose it. The fix is mechanical: practice fundamentals cold until graphs, trees and concurrency come out of your hands without a model in the loop. Languages are commonly TypeScript, Go, Rust or Python - pick the one you're fastest in, not the one that looks impressive.
Core data structures: maps, heaps, queues, graphs.
Graph and tree traversal, often with a twist.
Concurrency: shared state, races, simple synchronization.
Clean production code under a 60-minute clock.
Solve mediums with AI fully off, on a timer.
Write real functions, not pseudocode.
Narrate tradeoffs out loud as you go.
Test edge cases yourself, since no model will.
Expect classic algorithm problems, sometimes with an infra or systems flavor. A rate limiter, a dependency graph, a scheduler or a log-merge are all fair game and play to your domain.
Interactive diagram. Tab through its regions; each focused region shows its detail in the panel below.
With no model to bail you out, the difference is process - not raw memory.
- 1Clarify first. Restate the problem, ask about input size and constraints and name your assumptions before typing.
- 2State the approach. Say the algorithm and its complexity out loud, so the interviewer can redirect you early if needed.
- 3Write clean code. Real names, small functions, no dead branches - they're grading craft, not just correctness.
- 4Test it yourself. Walk a small input by hand and probe the edges, since there's no AI to catch your off-by-one.
- 5Narrate tradeoffs. Mention the alternative you didn't pick and why; that reasoning is half the signal.
type Bucket = { tokens: number; last: number };
function makeLimiter(ratePerSec: number, burst: number) {
const buckets = new Map<string, Bucket>();
return function allow(key: string, now = Date.now()): boolean {
const b = buckets.get(key) ?? { tokens: burst, last: now };
const refill = ((now - b.last) / 1000) * ratePerSec;
b.tokens = Math.min(burst, b.tokens + refill);
b.last = now;
if (b.tokens < 1) { buckets.set(key, b); return false; }
b.tokens -= 1;
buckets.set(key, b);
return true;
};
}Narrate as you code. Saying "I'll use a heap here so the next-smallest is O(log n)" turns a silent screen into a conversation and gives the interviewer a chance to nudge you. Silence reads as either stuck or sloppy and you have no AI to bail you out.
Truth-seeking is a Cursor value and it applies in real time. If you blank on an API or a complexity, say so and reason it out rather than confidently inventing it. "I think Dijkstra is O(E log V) with a binary heap, let me sanity-check that" beats stating a wrong number with false certainty.
Takeaway. One medium-hard problem in ~60 minutes with AI off - practice graphs, trees and concurrency cold, narrate tradeoffs and test your own edges.
Self-check
QWhy does Cursor forbid AI beyond autocomplete on the first technical screens and how should that change your prep?
Take-home and onsite technical rounds
After this you can plan for the realistic-problem take-home and the design and deep-dive rounds.
Senior and staff candidates may get a take-home of roughly 4-8 hours, built to give meaningful signal on how you engineer for real. The on-site technical block then adds a coding round, an infrastructure system-design round and a deep-dive on your past infra work.
The take-home is a realistic infra or systems problem, not a puzzle. Treat the deliverable like production code, because that's what's being graded. The thing that separates a strong submission isn't cleverness; it's the README, the tests and the honest notes on what you'd do with more time.
- Round
- Take-home
- Format
- 4-8 hrs, async
- What earns the yes
- Tests, README, reproducible setup, clear tradeoff notes
- Round
- Coding round
- Format
- Live, AI often allowed
- What earns the yes
- Fluent at driving AI tools with judgment, not just raw speed
- Round
- System design
- Format
- Live, ~60 min
- What earns the yes
- Infra design under real constraints: latency, cost, failure modes
- Round
- Past-work deep-dive
- Format
- Live, ~45-60 min
- What earns the yes
- Depth below the headline; the decisions and tradeoffs you owned
| Round | Format | What earns the yes |
|---|---|---|
| Take-home | 4-8 hrs, async | Tests, README, reproducible setup, clear tradeoff notes |
| Coding round | Live, AI often allowed | Fluent at driving AI tools with judgment, not just raw speed |
| System design | Live, ~60 min | Infra design under real constraints: latency, cost, failure modes |
| Past-work deep-dive | Live, ~45-60 min | Depth below the headline; the decisions and tradeoffs you owned |
One shift to expect: later rounds may allow open use of Cursor or other AI tools. That's not a relaxation - it raises the bar on judgment. Cursor wants to see you drive AI well, scope a prompt, verify output and reject a bad suggestion, because that's how the team actually works.
- 1Read the brief twice. Note what's explicit, what's implied and what you'll assume - then write those assumptions down.
- 2Make it reproducible. A clean setup that runs in one command beats a fancier solution a reviewer can't start.
- 3Test the risky parts. You don't need 100% coverage; you need tests where a bug would actually hurt.
- 4Write the tradeoff note. Say what you'd cut, what you'd harden and the cost/reliability calls you made.
- 5Cut scope visibly. Shipping a smaller, solid thing with a clear "here's what's next" beats a sprawling half-build.
An infra design round at Cursor is about real constraints, not boxes and arrows. Put numbers on it: a p99 latency budget per hop, the cost delta of active-active versus active-passive, what fails when a region goes dark and how you'd autoscale on the right signal. A latency-obsessed team wants to hear you think in budgets and error budgets.
In the past-work deep-dive, lead with a decision you'd defend and the tradeoff behind it. "We chose Karpenter over Cluster Autoscaler because our pod churn was bursty and bin-packing latency was hurting cold-start cost" shows ownership and judgment in one sentence. Save the architecture tour for after the interviewer asks.
Takeaway. Treat the take-home like production - tests, README, reproducible, honest tradeoffs - and in live rounds show judgment driving AI plus numbers-first design thinking.
Self-check
The 2-day on-site project (the decision round)
After this you can strategize for the build-with-the-team trial that actually decides.
This is the round that decides. Shortlisted candidates spend roughly two days at the office building something real alongside the team, sharing meals and presenting at the end. It exists to filter out people "just viewing it as a job" from people who genuinely want to build this.
You're not being graded on a finished masterpiece. You're being graded on how you work: how you scope ambiguity, the questions you ask, how you ship increments and how clearly you communicate the tradeoffs you made along the way. Solo heroics that ignore the people around you are a failure mode here, not a flex.
- Scoping
- Do you carve a vague brief into something demoable or chase the whole thing?
- Questions
- Do you ask sharp, well-timed questions instead of guessing in silence?
- Increments
- Do you get something working early and build outward or go dark for a day?
- Collaboration
- Do you work with the team, share context and take input gracefully?
- Communication
- Can you explain your tradeoffs clearly when you present at the end?
Interactive diagram. Tab through its regions; each focused region shows its detail in the panel below.
It grades how you work, not what you finish - these are the signals, roughly by weight.
- 1Arrive rested. Two days of building plus social time is taxing; treat sleep and pacing as part of prep.
- 2Ramp fast on the codebase. Spend the first stretch reading structure and conventions before you write much, then match the house style.
- 3Pick a demoable slice. Choose the smallest thing that proves the idea, ship it and expand from a working core.
- 4Show your work. Talk through decisions as you go and pull teammates in; they're evaluating collaboration, not isolation.
- 5Land the presentation. Close with what you built, the tradeoffs you made and what you'd do next - clearly and honestly.
A small, working, well-explained result beats an ambitious half-build every time in this format. Cursor values bias-to-ship: get something running on day one, then layer improvements. If you have to choose, choose the version you can actually demo and defend.
The round is partly a culture and collaboration test. Disappearing into your laptop for two days, even to produce something impressive, reads as exactly the solo-contractor energy the format is designed to screen out. Engage, eat with the team and let people see how you think.
Details vary: whether it's paid, whether it's exactly two days and what "present at the end" entails can differ by candidate and timing. Ask your recruiter about scope, expectations and logistics ahead of time so you walk in prepared rather than improvising the ground rules.
Takeaway. The 2-day build grades how you work, not what you finish - scope tight, ship a demoable increment early, collaborate openly and present your tradeoffs clearly.
Self-check
QOn the 2-day on-site project, you realize your original scope won't be demoable by the deadline. What do you do and why?
Behavioral / hiring-manager round
After this you can prepare values-aligned stories for the HM conversation.
The hiring-manager round reads for whether you'll thrive on a small, flat, high-bar team. The themes are bar-awareness, comfort with a fast pace, craft orientation and your honest views on team quality. Bring stories, not adjectives.
Prepare four to six STAR stories that map to the infra work and the values. Aim for range: an incident you handled calmly, a hard cost-versus-reliability tradeoff, a migration or platform-unification you drove and a technical disagreement you resolved. One of those stories should be a time you were wrong and changed course on evidence.
A real outage you helped resolve.
Show calm, clear comms and a blameless postmortem.
End with the systemic fix, not just the hotfix.
A tradeoff where both sides cost something.
Spot instances, right-sizing or a region cut.
State the number and the call you defended.
A platform you standardized or moved.
Show progressive, safe rollout - not big-bang.
Name the blast radiusHow much breaks if a change goes wrong; the scope of potential damage. you contained.
A spirited technical debate you were in.
Show truth-seeking over ego.
A time you changed your mind on evidence.
Cursor screens hard for truth-seeking, so the "I was wrong" story carries real weight. The strongest version names what you believed, the evidence that contradicted it and what you did differently - without softening the fact that you'd been wrong.
"I argued hard for active-active across two regions for resilience. When we modeled the data-replication cost and the conflict-resolution complexity, the numbers didn't justify it for our traffic - active-passive with fast failover was the honest call. I'd been anchored on resilience and underweighted cost. I changed the design and we cut spend meaningfully without hurting our SLO."
- Use "I" for the decisions and the shipping; reserve "we" for genuine team facts.
- Quantify outcomes - a p99 number, a cost delta, an error-budget figure - wherever you honestly can.
- Be candid about the pace: Cursor runs intense and false enthusiasm is easy to read.
Have three sharp questions ready for them: how the infra roadmap is prioritized, how on-call and incidents work and how technical decisions get made on a flat team. Good questions signal you're evaluating the role as a senior IC would and they're a natural place to show you've thought about platform-as-product ownership.
Takeaway. Bring 4-6 STAR stories - an incident, a cost/reliability tradeoff, a migration and a disagreement - plus one honest "I was wrong" story and three sharp questions of your own.