Staff Engineer Jobs at Anthropic with Visa Sponsorship
Anthropic hires Staff Engineers to build and scale the infrastructure behind frontier AI research, from distributed systems to safety-critical tooling. The company has a consistent track record of sponsoring work visas for engineering talent, making it a realistic target for international candidates in this function.
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Get Access To All JobsAbout 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.
About The Role
We are looking for experienced software engineers to join our Platform organization. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale - either internally or by hundreds of thousands of external global users and companies at all stages. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.
Platform Acceleration: We work on maximizing the developer productivity of product engineers at Anthropic. You'll architect and optimize the critical development infrastructure that powers our AI product development, including dev environments, observability, and CI/CD pipelines. You’ll partner closely with product teams to understand their development workflow and eliminate friction points. Your work will have an extraordinary multiplier effect, enhancing productivity across our entire product organization and accelerating our mission.
Service Infra: we build and maintain the core infrastructure that powers Anthropic's engineering organization, from service mesh and observability systems to deployment pipelines and shared libraries. Our work enables product teams to build and operate reliable services at scale, making us a critical force multiplier across the entire company.
Multicloud: We build and maintain the infrastructure that enables Anthropic to operate across multiple cloud providers. We focus on cloud-agnostic tooling, cross-cloud networking, and multi-region deployments.
Auth & Identity: We build and maintain the critical infrastructure that powers identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers. We create scalable solutions for user authentication, authorization, role-based access control, and single sign-on that form the backbone of our company's identity management operations. We maintain a user-centric approach, building reliable systems that our users and company can depend on as we tackle complex challenges at the intersection of security, scalability, and user experience.
Connectivity: Our mission is to make Claude the most connected AI. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also the core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs. You'll work on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, proxy infrastructure that stays up when partner servers don't. We ship for claude.ai, Claude Code, Cowork, and the API. Relevant experience includes OAuth, API gateways, multi-tenant platforms, building for enterprise, and MCP.
API Distributability: The Claude API today is a rapidly growing platform serving developers and enterprises at scale—but reaching the next tier of enterprise customers requires transforming how and where we deploy it. The Distributability team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it.
Platform Intelligence: We build the training systems that adapt Claude to specific customer workloads. The core problem is task-specific adaptation: getting the right intelligence, cost, and latency profile for a particular use case, and building toward systems where that adaptation can deepen as the customer's usage grows. We work closely with research on training methods and with agent platform teams on data paths. Relevant experience: ML training infra, production ML pipelines, backend engineering. Finetuning experience is a plus.
You Might Be a Good Fit If You
- Have 8-10+ years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level
- Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack
- Are a technical expert in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript)
- Take a product-focused approach to building solutions that are robust, scalable, and easy to use
- Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1
- Care deeply in investing in the mentorship and growth of your peers
- Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority
- Have experience establishing engineering standards, component architectures, and development best practices
- Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products
Strong Candidates May Also
- Served as a technical lead or architect for a foundational platform system, owning both the technical vision and execution end-to-end
- Experience designing or scaling billing, payments, or financial infrastructure at high transaction volumes
- Deep familiarity with containerization, secure execution environments, or infrastructure where security and capability need to coexist
- Built identity and access management systems (authentication, authorization, SSO, RBAC) at enterprise scale
- Experience with ML/AI systems, LLM inference, model serving pipelines, or the infrastructure that supports them
- Experience with multi-cloud deployments, cross-region architectures, or cloud-agnostic tooling
- Experience designing and reviewing APIs with a focus on developer experience, consistency, and reliability
Deadline to apply: None. Applications will be reviewed on a rolling basis.
Location Preference: Preference will be given to candidates based in NY, NJ, SEA, SF or the Bay Area given the current location of team.
The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary
$405,000—$485,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
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.
About The Role
We are looking for experienced software engineers to join our Platform organization. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale - either internally or by hundreds of thousands of external global users and companies at all stages. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.
Platform Acceleration: We work on maximizing the developer productivity of product engineers at Anthropic. You'll architect and optimize the critical development infrastructure that powers our AI product development, including dev environments, observability, and CI/CD pipelines. You’ll partner closely with product teams to understand their development workflow and eliminate friction points. Your work will have an extraordinary multiplier effect, enhancing productivity across our entire product organization and accelerating our mission.
Service Infra: we build and maintain the core infrastructure that powers Anthropic's engineering organization, from service mesh and observability systems to deployment pipelines and shared libraries. Our work enables product teams to build and operate reliable services at scale, making us a critical force multiplier across the entire company.
Multicloud: We build and maintain the infrastructure that enables Anthropic to operate across multiple cloud providers. We focus on cloud-agnostic tooling, cross-cloud networking, and multi-region deployments.
Auth & Identity: We build and maintain the critical infrastructure that powers identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers. We create scalable solutions for user authentication, authorization, role-based access control, and single sign-on that form the backbone of our company's identity management operations. We maintain a user-centric approach, building reliable systems that our users and company can depend on as we tackle complex challenges at the intersection of security, scalability, and user experience.
Connectivity: Our mission is to make Claude the most connected AI. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also the core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs. You'll work on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, proxy infrastructure that stays up when partner servers don't. We ship for claude.ai, Claude Code, Cowork, and the API. Relevant experience includes OAuth, API gateways, multi-tenant platforms, building for enterprise, and MCP.
API Distributability: The Claude API today is a rapidly growing platform serving developers and enterprises at scale—but reaching the next tier of enterprise customers requires transforming how and where we deploy it. The Distributability team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it.
Platform Intelligence: We build the training systems that adapt Claude to specific customer workloads. The core problem is task-specific adaptation: getting the right intelligence, cost, and latency profile for a particular use case, and building toward systems where that adaptation can deepen as the customer's usage grows. We work closely with research on training methods and with agent platform teams on data paths. Relevant experience: ML training infra, production ML pipelines, backend engineering. Finetuning experience is a plus.
You Might Be a Good Fit If You
- Have 8-10+ years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level
- Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack
- Are a technical expert in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript)
- Take a product-focused approach to building solutions that are robust, scalable, and easy to use
- Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1
- Care deeply in investing in the mentorship and growth of your peers
- Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority
- Have experience establishing engineering standards, component architectures, and development best practices
- Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products
Strong Candidates May Also
- Served as a technical lead or architect for a foundational platform system, owning both the technical vision and execution end-to-end
- Experience designing or scaling billing, payments, or financial infrastructure at high transaction volumes
- Deep familiarity with containerization, secure execution environments, or infrastructure where security and capability need to coexist
- Built identity and access management systems (authentication, authorization, SSO, RBAC) at enterprise scale
- Experience with ML/AI systems, LLM inference, model serving pipelines, or the infrastructure that supports them
- Experience with multi-cloud deployments, cross-region architectures, or cloud-agnostic tooling
- Experience designing and reviewing APIs with a focus on developer experience, consistency, and reliability
Deadline to apply: None. Applications will be reviewed on a rolling basis.
Location Preference: Preference will be given to candidates based in NY, NJ, SEA, SF or the Bay Area given the current location of team.
The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary
$405,000—$485,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
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.
See all 34+ Staff Engineer at Anthropic jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Staff Engineer at Anthropic roles.
Get Access To All JobsTips for Finding Staff Engineer Jobs at Anthropic Jobs
Align your experience with AI safety systems
Anthropic's Staff Engineer roles sit at the intersection of distributed infrastructure and AI research systems. Frame your prior work around reliability, scale, and safety-critical design rather than general full-stack experience. Reviewers here notice the distinction.
Target roles with a systems or research engineering scope
Staff Engineer openings at Anthropic often specify infrastructure, model serving, or research tooling. Applying to roles that match your background at that level of specificity improves your odds of reaching technical rounds where sponsorship conversations become concrete.
Prepare your credentials for specialty occupation review
USCIS requires your degree to align with the role's technical scope for H-1B approval. For Staff Engineer positions in AI research, gather transcripts and documentation that demonstrate computer science, engineering, or a directly related field before the offer stage.
Track your H-1B petition timeline against the fiscal year cap
USCIS opens H-1B registration in March, with the new fiscal year starting October 1. Staff Engineers starting on OPT should confirm with their employer whether premium processing will be used, since standard adjudication can stretch several months past the cap filing window.
Use Migrate Mate to surface open Staff Engineer roles
Anthropic's active Staff Engineer openings that include visa sponsorship aren't always easy to filter on general job boards. Use Migrate Mate to browse verified sponsoring employers and find Anthropic roles confirmed to support international candidates.
Staff Engineer at Anthropic jobs are hiring across the US. Find yours.
Find Staff Engineer at Anthropic JobsFrequently Asked Questions
Does Anthropic sponsor H-1B visas for Staff Engineers?
Yes, Anthropic sponsors H-1B visas for Staff Engineer roles. The company has a consistent sponsorship track record across its engineering function, including positions in infrastructure, model serving, and research tooling. If you're subject to the annual H-1B cap, your employer initiates the registration process with USCIS in March. Roles filled by candidates already holding H-1B status with another employer may transfer without waiting for the next cap cycle.
Which visa types does Anthropic sponsor for Staff Engineer roles?
Anthropic sponsors H-1B, H-1B1, and E-3 visas for engineering roles including Staff Engineers. H-1B applies to most nationalities and is subject to the annual lottery. H-1B1 is available to Chilean and Singaporean nationals and is cap-exempt. E-3 is exclusive to Australian citizens and also avoids the H-1B lottery, making it a faster path for Australians pursuing roles at Anthropic.
What qualifications and experience does Anthropic expect from Staff Engineer candidates?
Staff Engineer candidates at Anthropic are typically expected to have significant experience with large-scale distributed systems, infrastructure reliability, or ML platform engineering. A bachelor's degree or higher in computer science, engineering, or a closely related field is standard and supports the specialty occupation requirement under H-1B. Depth in systems design and demonstrated impact at scale matter more than breadth across domains.
How do I apply for Staff Engineer jobs at Anthropic?
You can find and apply to Staff Engineer openings directly through Anthropic's careers page. To specifically identify roles that confirm visa sponsorship, use Migrate Mate, which surfaces Anthropic's open positions verified to support H-1B, H-1B1, and E-3 candidates. Filtering by role level and function before applying helps ensure your experience aligns with the specific engineering scope Anthropic is hiring for.
How do I manage my visa timeline when pursuing an offer from Anthropic?
If you're on OPT, your 60-day grace period and OPT expiration date should be shared with your recruiter early so the offer and H-1B registration timelines can align. USCIS H-1B registration opens in March, with employment starting no earlier than October 1. If your OPT expires before October 1, confirm with Anthropic whether a cap-gap extension or bridge arrangement is possible during the offer stage, not after.
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