The Interview Loop

Cursor's Software Engineer, Security loop is shorter than most security loops you've seen and that's the point: a recruiter call, two or three technical screens, then a compact onsite built around a small project and team conversations. The job description spells out the onsite shape directly, so anchor your prep there.

Hold the whole arc in your head before you tune a single answer. Every stage probes the same claim from a different angle - that you are a strong software engineer first who carries security as a superpower, not a gatekeeper filing tickets. The screens check that you write correct code and think like an attacker. The onsite checks whether you can build defenses people actually adopt.

1. 1Recruiter screen (~30 min). Background, motivation, why Cursor and comfort with a flat, high-intensity org. Light calibration on your security scope and seniority.
2. 2Technical screens (2-3 rounds, ~60 min each). One medium-hard coding problem per round plus a security overlay - find and fix a vuln, reason about access control or defend a crypto choice. The JD names 2-3 short technicals.
3. 3Practical / take-home project. A realistic security build task. The JD's onsite explicitly includes a small project; a take-home stage is the norm for senior security roles industry-wide.
4. 4Compact onsite (Cursor office). Several short rounds: a hands-on security build, a secure code review of real-looking code, a threat-modeling / secure-design round and an AI/agent-security deep dive, plus team meetings.
5. 5Behavioral / values round. Hiring manager and team. End-to-end ownership, builder-vs-attacker mindset, developer empathy, truth-seeking and pace.

The first call is short and easy to underestimate. It sorts for a real reason you want this security job, a seniority that matches the bar and basic comfort with how Cursor operates. Generic enthusiasm for AI fails here faster than anywhere else in the loop.

The differentiator is specificity. Anyone can say they like Cursor. The candidate who reads as already aligned names the actual thing: securing autonomous coding agents that read, write and execute code on customer systems - a threat surface off-the-shelf playbooks don't cover.

• Why Cursor specifically: the novel threat model of autonomous AI coding agents and security as a superpower rather than a gate.
• Your security-engineering arc in roughly 90 seconds - where you've shipped defenses, not just where you've audited.
• A real example of authentic product use: a workflow where Cursor's agent actually changed how you build or review code.
• Honest seniority signal - the scope of problems you've owned alone and how you operate when no one hands you a spec.

Each technical screen pairs one medium-hard coding problem with a security overlay. They want to see clean, correct, tested code and an attacker's eye on the same problem. Two or three of these run per the JD, so steady competence across all of them beats one heroic round.

The house languages are TypeScript, Python and Rust. Be genuinely fluent in at least one - not just able to read it, but able to write idiomatic, correct code at speed and reason about its failure modes out loud.

1. 1Solve the coding problem cleanly first. Get to a correct, readable solution with sensible structure. Name your tests as you go; don't bolt them on at the end.
2. 2Then put on the attacker hat unprompted. Walk the inputs an adversary controls. Where does untrusted data reach a sink - a query, a shell, a file path, an HTTP call?
3. 3State the vulnerability class precisely. Say SQL injection, command injection, SSRF, IDOR, broken object-level authorization - naming the class shows you've internalized the taxonomy.
4. 4Propose the fix and its tradeoffs. Parameterized query over string concatenation; allowlist over denylist; why the secure default costs what it costs.
5. 5Generalize to a paved road. Note how you'd make the safe pattern the only easy path, so the next engineer can't reintroduce the bug.

// VULNERABLE: untrusted input concatenated into a query (SQL injection)
const rows = await db.query(
  `SELECT * FROM files WHERE owner = '${userId}' AND id = ${fileId}`
);

// FIXED: parameterized query - input can never change the query's structure
const rows = await db.query(
  "SELECT * FROM files WHERE owner = $1 AND id = $2",
  [userId, fileId]
);
// ...and note the second bug: are we even checking that fileId
// belongs to userId at the authz layer? Concatenation aside, an
// IDOR here lets one tenant read another's files.

The practical is where engineering judgment shows. The JD's onsite explicitly includes a small project and a take-home is the standard senior-security pattern, so plan for a realistic build task you carry from a blank repo to something defensible.

Whatever the exact prompt, the rubric is consistent: secure defaults, clean code and crisp written reasoning about what you traded away and why. A small thing that works and is well-justified beats a sprawling thing that half-works.

1. 1Scope ruthlessly in the first 20 minutes. Decide what 'done' means and what you're explicitly cutting. Write that down before you write code.
2. 2Ship secure defaults, not retrofitted security. Parameterized queries, least-privilege creds, deny-by-default, secrets out of the repo - baked in from the first commit.
3. 3Keep the code clean and tested. They're hiring a strong engineer. Sloppy code with great security ideas still reads as a no-hire.
4. 4Write the reasoning down. A short README with your threat model, the risks you mitigated and what you deliberately left out and why.
5. 5Make the safe path the only easy path. Wherever you can, design so the next change can't reintroduce the vuln you just fixed.

The onsite is at the Cursor office, deliberately compact and collaborative rather than adversarial. You'll work through several short technical rounds and meet the team to discuss ideas. Expect to extend or defend your practical-project thinking live.

Four technical themes recur and they map almost one-to-one onto the later modules of this track. Walking in knowing the shape of each round lets you spend your energy on substance instead of on being surprised.

Security behavioral rounds tend to be more formal and evidence-driven than the average culture chat. Use STAR and have a small library of stories already mapped to Cursor's stated values so you're matching, not improvising, when the question lands.

The strongest stories show security shipped, not security blocked - a defense you built that an engineer adopted without friction. That single shape covers builder-first mindset, developer empathy and end-to-end ownership at once.

• An end-to-end ownership story: ambiguous problem, no spec, you drove it to something that shipped.
• A builder-meets-attacker story: you saw the abuse case first, then built the systemic mitigation.
• A developer-empathy story: a paved-road defense that got adopted because it removed friction, not despite adding it.
• A truth-seeking story: you found your own mistake or a flaw in your own design and surfaced it early.