Anthropic H-1B Visa Sponsorship Jobs USA
Anthropic sponsors H-1B visas for roles across AI safety research, machine learning engineering, and policy. Known for rigorous technical hiring, it's a legitimate H-1B sponsor with a consistent track record in the science and research space, making it a realistic target for international candidates in AI-focused careers.
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Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is an AI safety company working to build reliable, interpretable, and steerable AI systems. Our first product, Claude, is an AI assistant built on our research into training honest, harmless AI systems. We're rapidly scaling our infrastructure to support state-of-the-art AI research and deployment.
About The Role
We're looking for experienced network engineers who are also skilled software developers to help build and scale the networking infrastructure that powers Claude and our AI research. This is a hands-on role where you'll work on everything from physical network builds to software-defined networking, from extending connectivity to new data center sites to building robust monitoring and automation systems. The bytes must flow! You'll be joining a small, growing team working on mission-critical infrastructure for one of the most exciting AI systems in the world. This role requires both technical depth in networking and the flexibility to solve problems across the stack—from configuring routers to writing automation, from troubleshooting physical connectivity to designing scalable network architectures.
Key Responsibilities
- Build and operate production networks: Design, deploy, and maintain high-performance networks across multiple data center sites, including managing physical infrastructure, routing protocols, and network security
- Develop network automation and tooling: Write software to automate network provisioning, configuration management, and operational workflows
- Ensure reliability and performance: Implement comprehensive monitoring, build debugging tools, investigate outages, and drive continuous reliability improvements
- Scale networking infrastructure: Plan and execute network expansions to new sites and facilities, including working with vendors, managing physical builds, and migrating live traffic
- Collaborate cross-functionally: Partner with compute, storage, and ML infrastructure teams to optimize network performance for AI workloads and troubleshoot complex distributed systems issues
- Incident response: Participate in on-call rotation and lead response to network-related incidents
About You
We're looking for engineers who think of themselves as problem-solvers first, who happen to have deep networking expertise. The ideal candidate has:
Required:
- 5+ years of experience in network engineering, with hands-on experience building and operating production networks
- Strong software development skills (Python, Go, or similar) and experience building network automation, tooling, or infrastructure software
- Deep understanding of networking fundamentals: TCP/IP, BGP, ISIS, OSPF, VLANs, VPCs, routing, switching, and network security
- Experience with the full stack of networking—from physical layer concerns (cabling, optics, hardware) through software-defined networking
- Comfort working with Linux, command-line tools, and infrastructure-as-code approaches
- Track record of debugging complex distributed systems issues that span network, compute, and application layers
- Strong communication skills and ability to work collaboratively with diverse teams
Preferred:
- Experience scaling networks in cloud environments (AWS, GCP, Azure) and/or on-premises data centers
- Background in DevOps/SRE practices including monitoring, observability, and reliability engineering
- Experience with Kubernetes networking, container orchestration, or service mesh technologies
- Prior work at startups, small ISPs, or environments requiring broad technical responsibilities
- Familiarity with AI/ML infrastructure and the unique networking requirements of large-scale training clusters
What Makes a Great Fit:
- Generalist mindset: You've done more than just networking—maybe you've built web applications, worked with embedded systems, or worn multiple hats in smaller organizations
- End-to-end problem solver: You don't just file tickets; you chase down issues across organizational boundaries and get to root causes
- Builder mentality: You're comfortable working in environments where you sometimes need to invent the solution because best practices don't exist yet
- High adaptability: You thrive in evolving environments with unique challenges and can collaborate effectively with strong, opinionated technical personalities
- Pragmatic technologist: You balance technical excellence with practical constraints, knowing when to build custom solutions versus leveraging existing tools
Compensation
- Annual Salary: $320,000 - $405,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is an AI safety company working to build reliable, interpretable, and steerable AI systems. Our first product, Claude, is an AI assistant built on our research into training honest, harmless AI systems. We're rapidly scaling our infrastructure to support state-of-the-art AI research and deployment.
About The Role
We're looking for experienced network engineers who are also skilled software developers to help build and scale the networking infrastructure that powers Claude and our AI research. This is a hands-on role where you'll work on everything from physical network builds to software-defined networking, from extending connectivity to new data center sites to building robust monitoring and automation systems. The bytes must flow! You'll be joining a small, growing team working on mission-critical infrastructure for one of the most exciting AI systems in the world. This role requires both technical depth in networking and the flexibility to solve problems across the stack—from configuring routers to writing automation, from troubleshooting physical connectivity to designing scalable network architectures.
Key Responsibilities
- Build and operate production networks: Design, deploy, and maintain high-performance networks across multiple data center sites, including managing physical infrastructure, routing protocols, and network security
- Develop network automation and tooling: Write software to automate network provisioning, configuration management, and operational workflows
- Ensure reliability and performance: Implement comprehensive monitoring, build debugging tools, investigate outages, and drive continuous reliability improvements
- Scale networking infrastructure: Plan and execute network expansions to new sites and facilities, including working with vendors, managing physical builds, and migrating live traffic
- Collaborate cross-functionally: Partner with compute, storage, and ML infrastructure teams to optimize network performance for AI workloads and troubleshoot complex distributed systems issues
- Incident response: Participate in on-call rotation and lead response to network-related incidents
About You
We're looking for engineers who think of themselves as problem-solvers first, who happen to have deep networking expertise. The ideal candidate has:
Required:
- 5+ years of experience in network engineering, with hands-on experience building and operating production networks
- Strong software development skills (Python, Go, or similar) and experience building network automation, tooling, or infrastructure software
- Deep understanding of networking fundamentals: TCP/IP, BGP, ISIS, OSPF, VLANs, VPCs, routing, switching, and network security
- Experience with the full stack of networking—from physical layer concerns (cabling, optics, hardware) through software-defined networking
- Comfort working with Linux, command-line tools, and infrastructure-as-code approaches
- Track record of debugging complex distributed systems issues that span network, compute, and application layers
- Strong communication skills and ability to work collaboratively with diverse teams
Preferred:
- Experience scaling networks in cloud environments (AWS, GCP, Azure) and/or on-premises data centers
- Background in DevOps/SRE practices including monitoring, observability, and reliability engineering
- Experience with Kubernetes networking, container orchestration, or service mesh technologies
- Prior work at startups, small ISPs, or environments requiring broad technical responsibilities
- Familiarity with AI/ML infrastructure and the unique networking requirements of large-scale training clusters
What Makes a Great Fit:
- Generalist mindset: You've done more than just networking—maybe you've built web applications, worked with embedded systems, or worn multiple hats in smaller organizations
- End-to-end problem solver: You don't just file tickets; you chase down issues across organizational boundaries and get to root causes
- Builder mentality: You're comfortable working in environments where you sometimes need to invent the solution because best practices don't exist yet
- High adaptability: You thrive in evolving environments with unique challenges and can collaborate effectively with strong, opinionated technical personalities
- Pragmatic technologist: You balance technical excellence with practical constraints, knowing when to build custom solutions versus leveraging existing tools
Compensation
- Annual Salary: $320,000 - $405,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Job Roles at Anthropic
How to Get Visa Sponsorship in Anthropic H-1B Visa Sponsorship Jobs USA
Target roles aligned with Anthropic's core research mission
Anthropic's H-1B sponsorships concentrate in AI safety, machine learning, and research engineering. Applying to roles directly tied to model development or interpretability research gives you the strongest case for sponsorship consideration.
Understand how Anthropic initiates H-1B filings
Anthropic handles H-1B sponsorship through its internal immigration process, typically engaging outside counsel once an offer is extended. Confirming sponsorship willingness early in the interview process avoids late-stage surprises.
Align your background with specialty occupation standards
H-1B approval requires demonstrating a specialty occupation. At Anthropic, that means showing your degree directly maps to the technical or research role, whether in computer science, statistics, cognitive science, or a related field.
Use Migrate Mate to verify Anthropic's sponsorship history
Migrate Mate surfaces verified H-1B sponsors so you can confirm Anthropic's real sponsorship track record before applying, saving time you'd otherwise spend chasing unconfirmed leads across general job boards.
Apply ahead of the H-1B cap season if you're not already in status
If you need a new H-1B cap-subject petition, timing your Anthropic application to allow for an April filing window is critical. Starting conversations with recruiters in late fall gives the process room to move.
Highlight research output, not just employment history
Anthropic evaluates candidates in a science and research context. Published papers, open-source contributions, or demonstrable work in AI safety signal the kind of specialized expertise that strengthens both the hire and the H-1B petition.
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Get Access To All JobsFrequently Asked Questions
Does Anthropic sponsor H-1B visas?
Yes, Anthropic sponsors H-1B visas. The company actively hires international talent and supports H-1B petitions for qualifying full-time roles, particularly in research and engineering. Sponsorship is typically confirmed after an offer is extended, so it's worth raising the topic directly with the recruiter once you reach the offer stage.
Which roles at Anthropic are most likely to receive H-1B sponsorship?
H-1B sponsorship at Anthropic is most common in technical and research-oriented positions, including AI safety research, machine learning engineering, software engineering, and policy research. These roles typically satisfy the specialty occupation requirement that underpins every H-1B petition. Roles in operations or general administration are less commonly sponsored.
How do I navigate the H-1B application process at Anthropic?
Once Anthropic extends an offer and confirms sponsorship, the company's immigration team or outside counsel prepares the H-1B petition on your behalf. You'll provide employment documents, degree credentials, and personal information. The employer handles filing with USCIS. Your role is to respond promptly to document requests and stay in close contact with the designated immigration contact.
How do I find H-1B jobs at Anthropic?
Anthropic lists open roles on its careers page. Migrate Mate also tracks Anthropic as a verified H-1B sponsor, so you can find and filter Anthropic-sponsored roles alongside other confirmed sponsors in one place. Focusing your search on research and engineering job families will surface the positions most likely to come with sponsorship.
How long does the H-1B sponsorship process take at Anthropic?
Timeline depends on when you need status and whether premium processing is used. Standard USCIS processing for a cap-subject H-1B petition can take several months after the April filing window, with employment starting October 1 at the earliest. Premium processing reduces USCIS adjudication to a matter of weeks. Cap-exempt scenarios, such as transfers from another H-1B employer, move faster and are not tied to the annual lottery.
What is the prevailing wage for H-1B jobs at Anthropic?
H-1B employers must pay at least the prevailing wage, which is determined when they file the Labor Condition Application with the Department of Labor. The rate is based on the role, location, and experience level, and ensures international hires are paid comparably to U.S. workers in the same position. You can look up prevailing wage rates for any occupation and location using the DOL's OFLC Wage Search tool.
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