Anthropic Staff Software Engineer Interview Guide
What to expect from practical coding, design, project discussions, and the Culture interview
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Anthropic's Staff Software Engineer interview examines both the systems you can build and the technical work you've led. The process includes hands-on coding, system design, and a close examination of a past project. The Culture interview is also a substantial part of the process, with questions about AI safety, judgment, and what you'd do when your values conflict with a business decision.
Below, we cover each stage and how to prepare, drawing on experienced SWE candidate accounts and recent user-reported interview questions. We keep that question collection up to date as candidates share their experiences. Your recruiter can explain what to prepare for each round, since the details vary by team and role.
How the process works
The early stages are a recruiter conversation, a timed online assessment when required, and a live technical screen. Some candidates receive the assessment before their first recruiter call. Candidates who pass move on to the virtual onsite, where coding and design sit alongside a project deep dive, a hiring-manager conversation, and Culture. References, team matching, and the hiring decision follow.
The onsite can be split into two groups of interviews, with a decision between them. One infrastructure candidate had design, coding, and Culture first, then returned for conversations about their experience, goals, and a technical project. Ask your recruiter which sessions are already scheduled and which depend on feedback from an earlier stage.
| Stage | What to expect |
|---|---|
| Recruiter conversation | Your background, the team's needs, and why Anthropic |
| Online assessment when required | A timed, multipart implementation in CodeSignal |
| Live technical screen | Practical coding or design, depending on the team |
| Virtual onsite | Coding, system design, a project deep dive, hiring-manager behavioral, and Culture |
| Final steps | References, team matching, and the hiring decision |
Anthropic's careers guidance describes remote interviews over Google Meet, with CodeSignal or Google Colab for technical work. You'll write and run code in these browser-based environments, including test cases. Practice there beforehand so you're comfortable working without your usual IDE setup. Python is common in candidate reports, though language requirements vary by role. Some candidates have used Replit for the live screen.
Talking with the recruiter
Early in the process, you'll have a chat about your experience and the role, usually around 15 to 30 minutes in candidate reports. Expect to discuss why you want to work at Anthropic and which parts of your background fit the team. For a Staff role, spend some of that conversation understanding the problem they want you to own and how much work it involves across teams.
Your preparation should follow that scope. An infrastructure role can put more weight on concurrency and model-serving systems, while a product role can spend more time on APIs, data models, and user-facing behavior. Technical leadership experience doesn't automatically exempt you from the online assessment, so plan for it unless your invitation skips that stage. For the project deep dive, get the expected presentation length and slide requirements before preparing a deck.
The online assessment
When required, the online assessment comes before the live technical interviews. Candidates commonly report a 90-minute CodeSignal assessment built around one practical project. This is a timed exercise you complete on your own, rather than an open-ended take-home with several days to build an application.
In CodeSignal's Industry Coding Assessment, the project has four progressive levels. You extend the same code as new requirements arrive, while keeping earlier behavior working. Anthropic reports describe tasks such as an in-memory database, so expect to implement several related operations rather than solve four unrelated algorithm puzzles. The instructions in your invitation give the format for your assessment.
The assessment supplies tests, and candidates describe needing to pass a stage's tests before the next stage unlocks. Practice completing and extending a small component within the time limit. Candidates have reported both advancement with less than a perfect score and rejection after a perfect score, so the score alone doesn't settle the outcome.
Live coding
The live coding rounds focus on practical implementation, not short LeetCode-style algorithm puzzles. Reported tasks include processing profiler or stack-trace data, transforming images from a JSON description, building a web crawler, and finding duplicate files. For example, an interviewer can ask for a crawler that visits pages within a domain, then have you make it concurrent. Plan to write and debug the code yourself, without AI assistance.
"Questions were far more practical and even coding required making design trade offs."
— Anthropic SWE candidate
Coding screens usually last about 50 to 60 minutes. Candidate discussions of the live screen describe both the image-transformation and concurrent-scraper formats. Some candidates start with system design. One infrastructure account describes a design screen, with coding in the onsite instead.
Concurrency deserves extra preparation for infrastructure roles. Be comfortable using your language's thread pools or async workers and reasoning about shared state, duplicate work, and failures. LeetCode's Web Crawler Multithreaded problem is a relevant exercise. The Design category is useful more broadly for practice implementing components with multiple operations and requirements.
If your recent work has been architecture-heavy, make time for timed coding practice. Use the browser-based environment you'll interview in, including its test runner, so an unfamiliar editor doesn't consume time you need for the problem.
Is onsite coding different from the screen?
Expect more practical coding, with room for different subject matter and more demanding follow-ups. One infrastructure candidate describes a crawler in the screen and profiler-data processing onsite, where the interviewer kept introducing difficult cases. Prepare for another task in the same general style, with new requirements to work through.
Can you use AI?
No, unless the assessment or interviewer explicitly permits it. Anthropic's candidate AI guidance encourages AI for preparation, but assessments and live interviews default to working without it. That includes AI autocomplete and code-generation tools, even though you're interviewing at the company that builds Claude.
Ordinary documentation and basic web search are separate from AI assistance. Anthropic's interview guidance allows them during technical interviews, but the rules in your assessment invitation take precedence. Check those before starting the online assessment or opening any tools in a live session.
Up-to-date
Most commonly asked Coding questions
Anthropic
Staff
System design
After the screen, the design conversations give you more room to show how you'd approach a substantial engineering problem. The technical leadership loops in our reports commonly include more than one design-related session. That can mean system design plus a domain discussion or a technical project deep dive, with each session examining a different part of your technical experience.
Reported design questions include messaging systems, distributing large model files, and batching model runs. The scope matters as much as the problem name. A product team can focus on API behavior and persistence, while an infrastructure team can spend the session on capacity, scheduling, and operational failures.
For Staff preparation, practice explaining the consequences of your choices beyond the initial diagram. The interviewer should be able to ask how the system behaves under a particular failure, what becomes expensive as usage grows, or what you'd change when the workload shifts, and get an answer grounded in your design.
Our WhatsApp breakdown is useful practice for messaging, while Design ChatGPT covers a familiar AI product. For infrastructure-focused preparation, Job Scheduler gives you a way to practice work distribution and execution. Choose the topics that match the role your recruiter described.
Up-to-date
Most commonly asked System Design questions
Anthropic
Staff
The technical project deep dive
The project deep dive turns from a hypothetical system to something you've already built. You'll explain the architecture and the decisions behind it, with detailed follow-up questions. Confirm the presentation format before making a deck, including how much of the session should be spent presenting and how much is reserved for discussion.
Choose a project where you owned important technical decisions and can explain how the work got delivered across teams. Be ready to discuss the alternatives, the difficult parts of the rollout, and why the result mattered. The interviewer needs to understand which decisions were yours and where other engineers contributed.
Revisit the project's actual numbers before the interview. Scale, reliability, adoption, and cost can help explain both the constraints you faced and whether your decisions worked. Also revisit what changed during delivery. The discussion can move from the architecture into how you negotiated scope, got another team to adopt the system, or changed direction after an assumption proved wrong.
Up-to-date
Most commonly asked Technical Project Retrospective questions
Anthropic
Staff
The hiring-manager conversation
The hiring-manager interview is a conversation about your past experience, how you work with people, and what you're looking for next. Expect questions about disagreement, ownership, ambiguous projects, and mistakes, with technical follow-ups when those are needed to understand your decisions.
For Staff candidates, examples involving several teams give you room to explain how you influenced work without owning every part of it. Prepare enough context that the interviewer can understand why others disagreed with you and what you did about it. Include a project that went poorly as well as the successful work you've chosen for the technical deep dive.
Our behavioral interview course and Story Builder can help you choose and organize examples before practicing them aloud.
Up-to-date
Most commonly asked Values questions
Anthropic
Staff
1. Tell me about a time when you had disagreements with your colleagues
2. What project are you most proud of?
3. Tell me about a time you had a conflict with a coworker. How did you resolve it?
4. Give me an example of a tough or critical piece of feedback you received.
5. Describe your most impactful project
The Culture interview
Culture is a separate conversation about Anthropic's mission and how you reason about difficult choices. Candidates describe questions about AI safety, societal impact, changing their minds, and acting on their values when doing so has a cost. Give it its own preparation time, even if you're comfortable with ordinary behavioral interviews.
One candidate on Blind described being asked whether they'd accept Anthropic's stock falling to zero in pursuit of its mission. Questions like that make the tradeoff personal. Spend time thinking about how your financial interests, responsibilities to users, and views on safety fit together.
Prepare to discuss a moral dilemma from your own work, including what you chose and who was affected.
"culture and manager calls require you to deeply understand the mission. check out blog posts, and come ready with informed viewpoints. you are expected to not just agree with everything"
— Anthropic SWE candidate
That quote is consistent with other candidates' accounts of being pressed on their own beliefs. Read Anthropic's values and careers guidance and any material recruiting sends you, then work out what you think about it. Be ready to explain where you agree, what you're uncertain about, and how you'd respond to a decision that creates tension between safety, users, and business interests.
References and the decision
After the onsite, a successful SWE candidate in our reports described reference checks, team matching, and a hiring-committee decision. References should be people who can discuss the ownership and collaboration you've described during the interviews. Ask them before passing along their details.
These final steps can take several weeks. Some successful candidates heard back within one or two weeks, but others describe weeks of silence after references or a rejection at that stage. Keep other interview processes moving until you have an offer, and tell recruiting about any competing deadline. A former manager and a close collaborator are useful references to have ready.
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