Staff Software Engineer Jobs at Anthropic with Visa Sponsorship
Anthropic hires Staff Software Engineers to build and scale the infrastructure behind frontier AI research, and the company has a consistent track record of sponsoring work visas for this function. If you're targeting a senior engineering role here, sponsorship is a realistic part of the conversation.
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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 Software Engineer at Anthropic jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Staff Software Engineer at Anthropic roles.
Get Access To All JobsTips for Finding Staff Software Engineer Jobs at Anthropic Jobs
Align your portfolio with AI safety work
Anthropic's Staff Software Engineer roles center on reliability, scalability, and research infrastructure for large language models. Frame your experience around distributed systems, ML infrastructure, or developer tooling rather than general full-stack work before you apply.
Prepare specialty occupation documentation now
H-1B approval for software engineers at AI research firms requires demonstrating a direct link between your degree field and the specific role. Gather transcripts, credential evaluations, and recommendation letters that connect your academic background to AI systems or infrastructure engineering.
Time your application around H-1B cap deadlines
If you need an H-1B, USCIS registration opens in March for an October 1 start date. Anthropic's recruiting cycles for Staff-level engineers often run several months, so starting conversations in the fall or winter gives you enough runway to clear the lottery before April.
Search verified sponsoring employers on Migrate Mate
Use Migrate Mate to filter Staff Software Engineer openings at companies with confirmed sponsorship histories. This saves time you'd otherwise spend cold-applying to employers whose sponsorship policies are unclear, and lets you target roles where the process is already established.
Negotiate start dates around petition processing windows
After an offer is extended, your employer files the I-129 petition with USCIS. Standard processing runs three to five months. Ask your recruiter about premium processing availability early, since it reduces that window to roughly 15 business days and de-risks your start date.
Staff Software Engineer at Anthropic jobs are hiring across the US. Find yours.
Find Staff Software Engineer at Anthropic JobsFrequently Asked Questions
Does Anthropic sponsor H-1B visas for Staff Software Engineers?
Yes, Anthropic sponsors H-1B visas for Staff Software Engineers. The company also sponsors H-1B1 visas for Singaporean and Chilean nationals and E-3 visas for Australian citizens. Staff-level roles at Anthropic typically involve specialized work in AI infrastructure and research systems, which supports the specialty occupation classification USCIS requires for H-1B approval.
How do I apply for Staff Software Engineer jobs at Anthropic?
Applications go through Anthropic's careers portal, where Staff Software Engineer roles are listed by team. The process generally includes a recruiter screen, technical assessments focused on systems design and infrastructure, and panel interviews with engineering and research staff. You can also browse verified Anthropic openings filtered by visa type on Migrate Mate before applying directly.
Which visa types are most commonly used for Staff Software Engineer roles at Anthropic?
The H-1B is the most widely used visa for Staff Software Engineers at Anthropic, covering most nationalities. Australian citizens have a direct path through the E-3, which has no annual lottery and can be renewed indefinitely. Singaporean and Chilean nationals can use the H-1B1, which also sits outside the H-1B cap and has a separate annual allocation.
What qualifications does Anthropic expect for Staff Software Engineer roles?
Anthropic's Staff Software Engineer roles typically require deep experience with large-scale distributed systems, ML infrastructure, or developer tooling in research-intensive environments. A bachelor's or advanced degree in computer science or a closely related field is expected. Candidates without a four-year degree may qualify through a combination of education and substantial professional experience in relevant systems engineering.
How do I plan my timeline when pursuing a Staff Software Engineer role at Anthropic on a work visa?
If you need an H-1B, account for USCIS registration in March, a potential lottery wait, and standard petition processing of three to five months before your October 1 start date. E-3 and H-1B1 applicants have more flexibility since both visas can be processed year-round. Starting recruiter conversations four to six months before your target start date gives enough runway to clear each step without rushing.
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