Anthropic Software Engineer Interview

Anthropic's software engineering (SWE) interview is built around the company's position at the center of AI safety research and large-scale LLM infrastructure. The most common reason candidates fail is the culture fit round, where interviewers evaluate how you think about AI ethics, risk, and responsible deployment.

The process runs across two separate onsite loops, each scheduled on different days, with the second loop canceled if you don't pass the first.

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 moves quickly and keeps candidates informed throughout. The process can vary by role and team.

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

1. Recruiter screens: A 30-minute call with a recruiter covering your background and interest in the role; this stage may be split into two calls
2. Technical screen: A 60-90 minute remote coding assessment using a collaborative coding environment like CodeSignal, Colab, or Replit
3. Hiring manager screen: A 45-60 minute conversation focused on engineering judgment, past projects, and technical decision-making
4. Onsite loop 1: Two or three 60-minute interviews covering system design, coding, and culture fit
5. Onsite loop 2: Two or three 60-minute interviews covering experience, behavioral topics, and values alignment

The screening stages are completed remotely. Onsite loops may be conducted in person at Anthropic's offices or virtually, depending on the role and your location.

Recruiter screens

Anthropic's SWE recruiter screen is a 30-minute conversation focused on your background, experience, and interest in the role. The recruiter will ask about your goals as an engineer and cover Anthropic's approach, culture, and values at a high level.

This stage may be split into two calls. A second recruiter may discuss compensation options and share documents and resources about Anthropic for you to study before the onsite loops. Expect the recruiter to initiate contact directly in many cases.

Interviewers look for:

• Relevant experience: Whether your background aligns with the team's technical domain
• Role fit: Your goals as an engineer and how they connect to what Anthropic is building
• Mission awareness: Your familiarity with Anthropic's approach to AI safety and responsible development
• Engagement: Whether you've thought about why Anthropic specifically, beyond general interest in AI

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 companies have you worked for previously?

Technical screen

Anthropic's SWE technical screen is a 60-90 minute remote assessment conducted in a shared Python environment using CodeSignal, Colab, or Replit. The format uses multi-tiered challenges that start straightforward and escalate in complexity as you progress.

Expect the interviewer to layer additional constraints onto your initial solution. For example, you might build a web crawler for a small website, then make it multi-threaded for parallel crawling, then create a dictionary of crawled data filtered by specific characteristics. Some candidates have reported behavioral or scenario-based components in this stage, though most describe it as purely coding-focused.

Interviewers look for:

• Problem decomposition: Your ability to break a multi-step challenge into manageable parts and build incrementally
• Adaptability: How you respond when the interviewer adds constraints, changes parameters, or introduces edge cases mid-challenge
• Communication: Whether you explain your reasoning and tradeoffs as you code
• 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.
• 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 is a 45-60 minute conversation focused on engineering judgment and technical decision-making. Expect to talk through your background, past projects, and how you approach tradeoffs between speed, correctness, and reliability.

The hiring manager may ask you to walk through your career step by step, then dig into specific projects: what decisions you made, what was difficult, and what you'd do differently. The round may also include a code review component, where you analyze existing code in one or more languages and identify issues or bottlenecks.

Interviewers look for:

• Engineering judgment: How you think about technical decisions, especially under uncertainty or competing constraints
• Project depth: Whether you can explain past work at the implementation level, including tradeoffs and mistakes
• Role clarity: Your understanding of the specific role and team, and why you want it
• Cultural signal: Early assessment of whether your values and working style align with Anthropic's mission-driven culture

System design round

The system design round in Anthropic's SWE interview focuses on LLM infrastructure and distributed systems that scale to millions of users. The questions are unique and directly tied to the team's current responsibilities and active work.

Expect challenges that test your ability to optimize computational resources at scale. You might design a system to handle a high volume of queries while optimizing GPU usage, then face follow-ups on sharding strategies, hotspot management, and geographic scaling. The interviewer will continually adjust parameters to test the boundaries of your approach.

Interviewers look for:

• Infrastructure thinking at scale: Your understanding of building distributed systems that handle millions of concurrent users, including concurrency and multithreading patterns
• Resource optimization: How you approach GPU utilization, computational efficiency, and cost-aware architecture
• Tradeoff articulation: Whether you can identify, explain, and defend the tradeoffs in your design choices
• Depth under pressure: How your thinking holds up as the interviewer adjusts scale, constraints, and failure scenarios
• Safety and security awareness: Whether you account for data security, privacy, and safety considerations in your architecture decisions

Recently asked questions

Here are real, recent interview questions reported by candidates:

• Design a file cache system.
• Design an agentic AI system that can autonomously adapt to new tasks.
• Design a scalable system for a token-generation service that handles up to 100,000 requests per second.
• Design a batch inferencing API.
• Build a system to batch queries and optimize GPU usage.

Coding round

Every coding challenge in Anthropic's SWE interview starts simple and escalates. As you solve each stage, the interviewer raises the difficulty with new parameters, edge cases, and constraints.

Anthropic favors real-world coding challenges for these assessments. You might write a function that uses stack trace samples to determine the longest-running function, then handle an edge case where one function runs on an infinite loop. Expect to explain why you chose a particular method, what the tradeoffs are, and what you'd do differently with different constraints.

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
• Real-world reasoning: Whether you can connect your solution to practical engineering concerns like performance, maintainability, and scale
• Communication throughout: Your ability to narrate your thinking, explain decisions, and engage with the interviewer's follow-ups

Recently asked questions

Here are real, recent interview questions reported by candidates:

• Write a function that determines the longest-running function based on stack trace samples.
• Write a function that can read and eliminate duplicate files.

Culture fit round

Anthropic's SWE culture fit round tests whether you can think critically about AI ethics, risk, and responsible deployment, and whether your values align with the company's emphasis on transparency, data security, and accountability.

Recruiters distribute culture and values documents early in the process for you to study. The interviewer will ask you to speak candidly about difficult subjects: how you apply your ethics in the workplace, how you think about AI risks and downsides, and how you handle feedback and cross-team collaboration.

Interviewers look for:

• Ethical reasoning: Your ability to think through the implications of AI tools and decisions, including potential harms
• Candor with nuance: Whether you can speak openly about difficult topics while maintaining a constructive, thoughtful tone
• Values alignment: How your experience and knowledge have shaped a complete picture of AI's benefits and risks
• Accountability: How you handle feedback, admit mistakes, and approach collaboration without ego

Recently asked questions

Here are real, recent interview questions reported by candidates:

• 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 believe in Anthropic's mission?
• Do you have any critiques of Anthropic's values or direction?

Experiences and goals interview

Anthropic's SWE experiences and goals interview is conducted by someone at the manager level or above. The round focuses on your experience as a team member, collaborator, and leader, with an emphasis on candor and self-awareness.

Expect questions that prompt you to describe your approach to cross-team collaboration, conflict resolution, and your preferred working style. The interviewer may focus on the negative: times you struggled, strategies you found limiting, or feedback that was difficult to give or receive.

Interviewers look for:

• Self-awareness: Whether you can describe past experiences with honesty, including failures and struggles
• Collaboration style: How you approach cross-functional work, especially when goals or priorities conflict
• Growth from difficulty: Your ability to extract lessons from challenging situations and apply them forward
• Feedback orientation: How you give, receive, and act on difficult feedback

Recently asked questions

Here are real, recent interview questions reported by candidates:

Technical project deep dive

In the technical project deep dive portion of Anthropic's SWE interview, you give a presentation (using Notion or similar software) on a past project where you had end-to-end ownership. The round functions closer to a behavioral interview than a technical one; interviewers care more about how you made decisions and collaborated than about the technical stack itself.

Focus your presentation on the decisions you and your team made throughout the project: how it connected with other teams, how it aligned with organizational goals, and what made key decisions difficult. If a tradeoff was particularly complex, explain what made it hard, how you reached a solution, and how you advocated for your approach.

Interviewers look for:

• End-to-end ownership: Whether you can speak to the full arc of a project from conception through delivery
• Decision-making under complexity: How you navigated tradeoffs, especially when the right path wasn't clear
• Cross-team impact: Your awareness of how your 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

How to prepare for the Anthropic SWE interview

1. Study the team's domain: Anthropic's technical assessments are highly domain-specific. Research the team you're interviewing with and understand the challenges they're currently working on. The interview questions may relate to active projects, so familiarity with the team's specific engineering focus sharpens your prep. Review Anthropic SWE interview questions to see the types of challenges candidates have faced.
2. Study Anthropic's values: The recruiter will send you culture and values documents to study. Go beyond them. Think through the potential implications of the products and systems you'd be building. Being able to articulate the negative impacts of AI and how a deliberate, careful process can help mitigate those risks is critical for the culture rounds.
3. Prepare for discomfort: Many Anthropic interview questions are designed to prompt you to speak about past failures, mistakes, or difficult team dynamics. Practice articulating these experiences candidly, without overcriticism or defensiveness.
4. Practice with escalating challenges: Anthropic's coding and system design rounds progressively increase in difficulty. Start each practice session with a basic solution, then add constraints: increase scale, introduce failure modes, limit resources. Narrate your tradeoffs out loud as parameters shift. Concurrency and multithreading come up across multiple rounds. Most coding is done in a shared Python environment, so be comfortable with the syntax and standard library.
5. Follow Anthropic employees on X: Current employees share insights about the company's work, culture, and direction. These perspectives can help you prepare more specific, informed answers.
6. Practice the interview format: Simulate the multi-layered format of Anthropic's coding and behavioral rounds with a coach or by running mock interviews to build comfort with follow-ups and shifting parameters.

About the Anthropic software engineer role

Anthropic's SWE roles go beyond building and maintaining tools. Engineers contribute to AI research and development, including research papers and open-source projects, while working on products that serve millions of users.

Key characteristics of the SWE role at Anthropic:

• Research-integrated engineering: Contribute to research and development alongside product work, including publications and open-source efforts
• AI infrastructure at scale: Build and maintain tools, systems, and infrastructure that serve millions of active users
• Ethics-driven development: Anthropic's approach emphasizes transparency, data security, and considering the implications of models and tools more deliberately than many peers in the AI space

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 (infrastructure, security, operations, or similar). Direct ML experience isn't a prerequisite; many of Anthropic's technical staff had none before joining, and the boundary between engineering and research is fluid.

About half of Anthropic's technical staff have PhDs, but the company emphasizes that many successful colleagues never went to college. Anthropic evaluates candidates on demonstrated ability: independent research, open-source contributions, and thoughtful technical writing carry weight.

Additional resources

• Anthropic SWE Interview Questions
• Software Engineering Interview Prep
• Generative AI Interview Prep
• System Design Interview Course
• Anthropic System Design Interview Guide
• Anthropic ML Engineer Interview Guide
• Anthropic Infrastructure SWE Interview Guide

FAQs about the Anthropic SWE interview

How long does the Anthropic SWE interview process take?

Anthropic's SWE interview process typically takes 1-4 months from application to offer. The process is known for moving quickly and maintaining strong communication with candidates throughout.

How many rounds are in the Anthropic SWE interview?

Anthropic's SWE interview includes 7-9 rounds total, starting with screening calls and a technical assessment, then moving into two onsite loops scheduled on separate days.

What is the most common reason candidates fail the Anthropic SWE interview?

The culture fit round is the most common failure point for Anthropic SWE candidates. The round evaluates how you think about AI ethics, risk, and responsible development; candidates who can't articulate a balanced, thoughtful view of AI's benefits and downsides often struggle here.

How much does an Anthropic software engineer make?

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

• Senior SWE: ~$563K
• Lead SWE: ~$785K

Anthropic pays exceptionally well relative to the industry. Packages can skew significantly higher and typically include a mix of base salary, equity, and bonuses.

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 has offices in San Francisco, New York, Seattle, and London. Most SWE roles are office-based, though select positions are listed as remote-friendly with regular travel expected. Relocation support is available.