Anthropic Software Engineer (SWE) Interview Guide

Anthropic runs a faster, leaner interview loop for software engineers than most big tech companies, and holds a higher bar at the end of it. The design round can open with a finished architecture already on screen, and interviewers will ask you to find what's wrong with it. The rounds with no code in them are the hardest, testing your judgment about decisions you've already made, from the projects on your resume to Anthropic's published values.

This guide breaks down each stage of the Anthropic SWE interview process, what interviewers look for, and how to prepare with real example questions, actionable tips, and resources.

Anthropic software engineer interview process

Anthropic's SWE interview process opens with recruiter and technical screens and puts everything else into a single onsite, where 3 of the 5 interviews have no coding in them. The technical screen format, the design round format, and whether the hiring manager gets a separate conversation all vary by team.

Here's an example of what the Anthropic software engineer interview process can look like:

1. Recruiter screens: 15-30 minute intro call on your background and logistics, plus 1 to 2 follow-up calls covering compensation and onsite prep
2. Technical screen: 60-90 minute remote coding assessment, either self-directed on CodeSignal or live with an interviewer in Google Colab
3. Hiring manager screen: 45-60 minute conversation on engineering judgment, past projects, and technical decision-making
4. Onsite: 5 interviews of roughly 60 minutes each, covering system design, coding, culture fit, experiences and goals, and a technical project presentation

Anthropic runs every stage of the interview remotely, even when the role is based in one of its offices and requires relocation. You may get all 5 onsite interviews across 2 consecutive days, or 2 separate loops with the second scheduled only after the first clears.

Anthropic may put 2 interviewers in any given onsite round without announcing the panel format in advance. Ask your recruiter who you'll be meeting in each round.

Recruiter screens

Anthropic recruiters move through your background and logistics quickly, then use the rest of the SWE recruiter screen to explain how the company runs hiring. They state a preference for speed and short, precise answers, and that preference holds in every round after this one.

One person usually owns your candidacy from the first call through the final decision, with no handoff to a sourcer or coordinator. Compensation sometimes goes to a second recruiter.

You'll get one more call before your onsite, usually once you've cleared the technical screen. That 30 minutes covers each onsite round on video, and you may receive the company's culture and values documents to study alongside it.

The walkthrough often comes verbally with nothing in writing afterward, so take your own notes.

Interviewers look for:

• Relevant experience: Whether your background matches the team's technical domain
• Reason for leaving: Whether your account of why you're leaving your current role holds together and points toward this role
• Mission awareness: Your familiarity with Anthropic's approach to AI safety and responsible development
• Specificity about Anthropic: Whether you've thought about why Anthropic beyond a general interest in AI
• Logistics fit: Your location, relocation flexibility, and compensation expectations

Recently asked questions

Here are real, recent interview questions reported by candidates:

• Why do you want to work at Anthropic?
• What type of roles are you looking for?
• What's motivating you to look for a new role right now?
• What companies have you worked for previously?
• What are your compensation expectations, and where are you based?

Technical screen

Anthropic's SWE technical screen, sometimes called the phone screen, is a 60-90 minute coding assessment, and the format depends on the team. You'll either complete a self-directed assessment on CodeSignal, or work through challenges live with an interviewer in a shared Python environment such as Google Colab.

Both formats use multi-tiered challenges that start straightforward and escalate as you progress. A live interviewer will layer constraints onto your first working solution, while CodeSignal presents each tier as a separate level to submit.

CodeSignal sessions run with your camera on and no interviewer present, so you won't get hints or clarification when a specification is ambiguous. The screen also sometimes includes behavioral or scenario-based components.

Anthropic rebuilds its technical evaluations as its own models improve. Its performance engineering team has run a take-home since early 2024 asking candidates to optimize code for a simulated accelerator, and when Claude Opus 4.5 matched the strongest human applicants on it, the team redesigned the challenge. Expect evaluations built to measure something a model can't do for you.

Interviewers look for:

• Problem decomposition: Your ability to break a multi-step challenge into parts and build incrementally
• Adaptability: How you respond when constraints, parameters, or edge cases change mid-challenge
• Communication: Whether you explain your reasoning and tradeoffs as you code
• Language fluency: Your comfort with Python's standard library without external references
• Practical judgment: Your choice of approach and your awareness of why alternatives exist

Recently asked questions

Here are real, recent interview questions reported by candidates:

• Build the core business logic for a banking application with multiple transaction types.
• Build a web crawler for a small website, make it multi-threaded, then filter the crawled data by specific characteristics.
• Write a function that converts stack samples into a trace.
• Build the core logic for a new API.

Hiring manager screen

Anthropic's SWE hiring manager screen runs 45-60 minutes and follows your resume from one role to the next, in order. Interviewers read it closely enough to name specific projects and rarely ask about anything outside it.

For each role on your resume, expect questions about what the project was, what made the company distinctive, and what changed because you shipped it. The technology you chose matters less to Anthropic interviewers than the outcome you can name and measure.

The hiring manager screen may also include a code review, where you analyze existing code in one or more languages and identify issues or bottlenecks. A peer engineer may run the conversation when the team hasn't hired its manager yet.

Interviewers look for:

• Engineering judgment: How you think about technical decisions under uncertainty or competing constraints
• Project depth: Whether you can explain past work at the implementation level, including tradeoffs and mistakes
• Impact over tech stack: Whether you can state what your work changed for users or for the business
• Resume accuracy: Whether your stated experience holds up under direct questioning
• Role clarity: Your understanding of the specific role and team, and why you want it

Recently asked questions

Here are some real interview questions reported by candidates:

• Walk me through your resume, company by company.
• What was distinctive about working at that company?
• What was that project about, and what changed because of it?
• Which technical decision on that project would you make differently now?
• Why did you make the move from your previous role to your current one?

System design round

Anthropic's SWE system design round covers LLM infrastructure and distributed systems at scale, and it runs in one of two formats. Interviewers either give you a prompt and an empty screen, or put an existing design in front of you and ask you to critique it.

The design-review format has come up for staff-level engineers and engineering leaders alike. Expect follow-ups on end-to-end flow, failure handling, and overload protection once you've identified the gaps.

When you design from scratch, the prompt stays close to the team's active work, with an emphasis on computational efficiency at scale. Interviewers keep adjusting scale, sharding strategy, and failure scenarios to test the boundaries of your approach.

Interviewers look for:

• Infrastructure thinking at scale: Your understanding of distributed systems serving millions of concurrent users, including concurrency and multithreading patterns
• Design critique: Whether you can read an unfamiliar architecture and name what's wrong with it
• Resource optimization: How you approach GPU utilization, batching, and cost-aware architecture
• Tradeoff articulation: Whether you can identify, explain, and defend the tradeoffs in your design choices
• Failure reasoning: How you handle overload protection, hotspots, and graceful degradation
• Safety awareness: Whether you account for data security and privacy in architecture decisions

Recently asked questions

Here are real, recent interview questions reported by candidates:

• Review this design document for an inference service and identify what you'd change.
• Walk through the end-to-end flow of this architecture, then explain how it handles overload.
• Design a batch inferencing API.
• Build a system to batch queries and optimize GPU usage.
• Design a scalable token-generation service that handles up to 100,000 requests per second.
• Design an agentic AI system that can autonomously adapt to new tasks.
• Design a file cache system.

Coding interview

Anthropic's SWE coding interview escalates the way the technical screen does, but the challenges are drawn from real engineering work instead of standard algorithmic patterns. You might extend an existing feature, work out what a partially built system is doing, or debug something written by someone else.

Nothing in this round tests knowledge of AI models, training, or inference internals. Anthropic hires engineers to build the infrastructure around its models, and the coding rounds reflect that.

Because the starting point is usually code you didn't write, interviewers spend much of the round watching how fast you resolve unknowns. They'll keep adding parameters and edge cases to whatever you build, then ask why you chose the method you did.

Interviewers look for:

• Incremental problem-solving: Your ability to start with a working solution and adapt it as the interviewer raises the difficulty
• Edge case handling: How you identify and manage code-breaking scenarios without losing your approach
• Speed under ambiguity: How quickly you resolve unknowns in unfamiliar code or an incomplete specification
• Real-world reasoning: Whether you connect your solution to performance, maintainability, and scale
• Communication throughout: Your ability to narrate your thinking and engage with the interviewer's follow-ups

Recently asked questions

Here are real, recent interview questions reported by candidates:

• Implement an LRU cache, then extend it as the interviewer adds constraints.
• Write a function that determines the longest-running function based on stack trace samples, then handle a function stuck in an infinite loop.
• Write a function that reads a directory and eliminates duplicate files.
• Extend a practical feature inside an existing codebase with limited documentation.

Culture fit interview

Anthropic's SWE culture fit interview tests how you think about AI ethics, risk, and responsible deployment. Interviewers often come from non-engineering teams, and they'll ask how you felt about past decisions, alongside what you decided and why.

The round often opens with your interpretation of Anthropic's values, which the company publishes on its company page. Recruiters send culture and values documents early in the process, so study those against the public list.

Anthropic publishes 7 values, and each one gives you something to prepare:

• Act for the global good: Reason about long-run outcomes for humanity, including where bold action is warranted
• Hold light and shade: Hold the upside and the risk of AI at the same time, which is what the balanced critique in this round tests
• Be good to our users: Anthropic defines users broadly, covering customers, policymakers, employees, and anyone its technology affects
• Ignite a race to the top on safety: Treat reliability and security as a collective responsibility across the industry
• Do the simple thing that works: Prioritize the size of your impact over the sophistication of your method
• Be helpful, honest, and harmless: Communicate directly and assume good intent in disagreement, in a low-ego organization
• Put the mission first: Show you can act quickly under shared purpose without waiting for direction

Expect ethics scenarios with no correct answer, including tradeoffs between company revenue and customer cost. Interviewers may warn you in advance that some questions will be uncomfortable, and they tend to stay neutral without signaling approval either way.

Interviewers look for:

• Ethical reasoning: Your ability to think through the implications of AI tools and decisions, including potential harms
• Values fluency: Whether you can interpret Anthropic's published values in your own words and apply them to real decisions
• Candor with nuance: Whether you can discuss difficult topics openly while staying constructive
• Self-disclosure: How openly you discuss your reasoning and your reactions as well as the outcome
• Accountability: How you handle feedback, admit mistakes, and approach collaboration without ego

Recently asked questions

Here are real, recent interview questions reported by candidates:

• Which of Anthropic's values matters most to you, and how do you interpret it?
• Would you ship a feature that costs customers more but increases company revenue? How would you decide?
• What are the ethical risks of deploying agentic AI systems in high-stakes environments?
• How do you keep users' data safe and private when building AI systems?
• Do you have any critiques of Anthropic's values or direction?

Experiences and goals interview

Anthropic's SWE experiences and goals interview is run by someone at manager level or above and covers your record as a team member, collaborator, and leader. Interviewers focus on candor and self-awareness.

Expect most questions to center on difficulty: times you struggled, approaches that turned out to be limiting, and feedback that was hard to give or receive. Anthropic interviewers then ask what you did with that feedback afterward.

Interviewers will ask about disagreements with other teams, so have an example ready where you can explain what the other side wanted and how you settled it. They'll also ask you to describe your own working style, including the parts of it that create friction.

Interviewers look for:

• Self-awareness: Whether you can describe past experiences honestly, including failures and struggles
• Collaboration style: How you approach cross-functional work when goals or priorities conflict
• Growth from difficulty: Your ability to extract lessons from hard situations and apply them forward
• Feedback orientation: How you give, receive, and act on difficult feedback
• Working style clarity: Whether you can name what you need from a team and where you create friction

Recently asked questions

Here are real, recent interview questions reported by candidates:

• Tell me about feedback that was difficult to hear, and what you did with it.
• Describe an approach or process you adopted that turned out to be limiting.
• Walk me through a disagreement with another team over priorities and how it resolved.
• Tell me about a technical decision you were wrong about.
• What kind of team environment brings out your best work?

Technical project presentation

Anthropic's SWE technical project presentation asks you to present one project you owned end to end, and defend the decisions behind it. The round functions closer to a behavioral interview than a technical one.

Recruiters give you the format requirements in advance: a slide deck or a one-page write-up, kept on your screen and never sent ahead. Pick one large, recent project. Two small ones won't give the interviewer enough to work with.

The first half runs as your presentation, covering project phases, technology choices, team size, and how you shipped. The interviewer spends the rest of the round on questions, usually focusing on one or two of the most demanding aspects of your project.

Interviewers look for:

• End-to-end ownership: Whether you can cover the full lifecycle of a project from conception through delivery
• Decision-making under complexity: How you navigated tradeoffs when the right path wasn't clear
• Technical depth on demand: Whether you can answer detailed questions on any component you presented
• Cross-team impact: Your awareness of how the project connected to other teams and broader organizational goals
• Advocacy and communication: Your ability to explain and defend technical decisions to stakeholders with different priorities

Recently asked questions

Here are real, recent interview questions reported by candidates:

• Walk us through this project, including the phases, the technology you chose, and how you shipped it.
• How did you handle data privacy and compliance requirements here?
• Which decision on this project was hardest, and what made it hard?
• How many people worked on it, and how did you divide the work?
• What would you change about the approach today?

How to prepare for the Anthropic SWE interview

1. Prepare from your resume first: Anthropic interviewers work line by line through the companies and projects you've listed, and they rarely go beyond them. Prioritize your own history over industry articles, design pattern catalogs, and general technology trends.
2. Write out what went wrong on each project: For every significant project, document the priority changes, the people who left mid-build, the design disagreements, and the timelines you missed, along with what you did about each. Interviewers return to these moments in the hiring manager screen, the project presentation, and the experiences and goals round.
3. Practice critiquing designs you didn't write: Find architecture documents for inference services, batch processing systems, and GPU-backed pipelines, then identify gaps in end-to-end flow, overload protection, and failure handling. Reading a design under time pressure is a different skill from producing one.
4. Study Anthropic's values and build your own position: The recruiter sends culture and values documents, and the culture fit interview opens with your interpretation of them. Work out where you agree, where you'd push back, and what the downsides of Anthropic's products could be.
5. Practice with escalating challenges: Start each practice session with a basic working solution, then add constraints: raise the scale, introduce failure modes, limit resources. Narrate your tradeoffs out loud as the parameters shift, and be comfortable in Python, since most coding happens in a shared Python environment.
6. Cover standard architecture alongside AI infrastructure: Concurrency, multithreading, sharding, and caching come up across multiple rounds even when the prompt is framed around inference or agents. Review Anthropic SWE interview questions to see how the framing maps onto familiar infrastructure challenges.
7. Ask for prep time and expect a counteroffer: Anthropic schedules the onsite within a couple of weeks of the technical screen by default. Request more time if you need it, then negotiate to a middle point.
8. Practice the interview format: Run mock interviews to build comfort with layered follow-ups and shifting parameters. Work with an expert coach on the behavioral and culture rounds, which are the harder half of this loop.

About the Anthropic software engineer role

Anthropic SWEs build the systems that train, serve, and safeguard Claude, from inference infrastructure to the products millions of people use. The work spans open-source contributions, internal tooling, and production services under real load.

Three things set the role apart from equivalent jobs at large tech companies:

• The line between engineering and research is thin: Every Anthropic paper lists engineers as authors, often as first author
• Compute is the binding constraint: Efficiency and cost shape architecture decisions in a way they rarely do at companies with larger infrastructure budgets
• Safety review happens during the build: Transparency, data security, and harm analysis factor into design decisions as engineers make them

Anthropic SWEs are generally expected to:

• Develop products, systems, and tools that help users get more out of Anthropic's LLMs
• Research and implement solutions for more efficient use of computational resources
• Build guardrails and safeguards to reduce the risks inherent to LLM training, inference, and deployment
• Work cross-functionally to coordinate on product updates and releases

Anthropic SWE experience requirements

Anthropic's SWE job listings typically require several years of software development experience, ideally with a track record in the specific discipline of the role, such as infrastructure, security, or operations. Approximately half of Anthropic's technical staff arrived with no prior ML experience, so you don't need a machine learning background to apply.

About half of Anthropic's technical staff have PhDs, but the company states that many of its engineers never went to college. Anthropic evaluates candidates on demonstrated ability: independent research, open-source contributions, and thoughtful technical writing all count.

Additional resources

• Software Engineering Interview Course
• Anthropic SWE Interview Questions
• Anthropic Interview Process
• Anthropic System Design Interview
• Anthropic's AI guidance for candidates
• Anthropic's careers page

FAQs about the Anthropic SWE interview

How long does the Anthropic SWE interview process take?

Anthropic's SWE interview process typically runs 4-6 weeks from application to final decision, and recruiters often make first contact within a day of your application. The timeline extends to several months when a team pauses hiring mid-process, in which case a different recruiter may pick your candidacy back up later.

How many rounds are in the Anthropic SWE interview?

Anthropic's SWE interview includes 7 to 8 evaluative rounds: a recruiter screen, a technical screen, an onsite of 5 interviews, and in most cases a separate hiring manager screen. Recruiters schedule 1 to 2 additional calls on top of those to cover compensation and walk you through the onsite.

What do candidates underestimate most in the Anthropic SWE interview?

Candidates most often underprepare the non-technical rounds of the Anthropic SWE interview, where interviewers press on ethics, motivation, self-disclosure, and mistakes you've made. The technical rounds are demanding, but the culture fit and experiences and goals interviews ask for a kind of candor most engineering loops never test.

What questions does Anthropic ask in software engineer interviews?

Anthropic SWE interview questions fall into 4 groups: practical coding challenges that escalate tier by tier, LLM infrastructure design questions covering batching and GPU utilization, resume-driven questions about specific projects and their outcomes, and values-based questions about AI ethics and how you've handled conflict. Anthropic doesn't ask about model internals, training methods, or AI research.

Can you use Claude or other AI tools in the Anthropic interview?

Anthropic permits AI in 2 stages of its interview process and restricts it in 2 others:

• Your application: Write the first draft yourself, then use Claude to refine it
• Interview prep: Use Claude freely to research Anthropic and practice your answers
• Take-home assessments: No AI unless Anthropic tells you otherwise
• Live interviews: No AI unless Anthropic tells you otherwise

Anthropic makes exceptions for some roles and says it will tell you when AI is allowed.

Does Anthropic give candidates feedback between interview rounds?

Anthropic recruiters sometimes relay interviewer feedback between rounds, including specific notes on answer length and structure ahead of the onsite. Feedback isn't guaranteed, and some candidates receive a rejection with no explanation at all.

Does Anthropic offer remote work for software engineers?

Anthropic's current policy expects all staff to be in one of its offices at least 25% of the time. The company operates in 12 cities, including San Francisco, Seattle, New York, Washington DC, London, Dublin, Zurich, Paris, Munich, Tokyo, Seoul, and Bengaluru, with a Cambridge office added in 2026. Engineering roles concentrate in San Francisco, Seattle, New York, and London, and most are office-based with relocation support available. Interviews run remotely regardless of where the role is based.

How much does an Anthropic software engineer make?

Here are the reported compensation ranges by level for Anthropic SWEs, according to Levels.fyi:

• Software Engineer: ~$367K
• Senior SWE: ~$591K
• Lead SWE: ~$863K
• Staff SWE: up to ~$1.27M

Packages typically include a mix of base salary, equity, and bonuses, and offers at senior levels often exceed the figures above.