Staff Engineer Jobs at Anthropic with Visa Sponsorship
Staff Engineer jobs at Anthropic involve building and scaling 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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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
Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. Our mission is to provide data processing, storage, and access that are trusted, fast, and easy to use. We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You'll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability.
Responsibilities
Within Data Infra, you may be matched to critical business areas including:
- Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data. Build infrastructure for permission management, audit logging, and compliance requirements. Work on IAM policies, ACLs, and security controls that scale across thousands of users and systems.
- Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for complex financial systems, including third party revenue ingestion pipelines; manage the external relationships as needed to drive upstream dependencies. Own the reliability of systems processing revenue, usage, and business metrics.
- Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-scale data. Ensure high availability and durability of data stored in cloud object storage (GCS, S3). Build systems that protect against data loss and enable rapid recovery.
- Data Platform & Tooling: Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark. Optimize query performance, manage costs, and enable self-service analytics across the organization.
You Might Be a Good Fit If You
- Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems
- Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
- Can set technical direction for a team, not just execute within it
- Have deep experience with at least one of:
- Strong proficiency in programming languages like Python, Go, Java, or similar
- Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS)
- Can navigate complex technical tradeoffs between performance, cost, security, and maintainability
- Have excellent collaboration skills - you work well with both technical and non-technical stakeholders
Strong Candidates May Also Have
- Experience with security and compliance requirements (ITGC, GDPR, financial controls)
- Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure
- Experience with Kubernetes, containerization, and cloud-native architectures
- Track record of improving data reliability, availability, or cost efficiency at scale
- Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks
- Experience working in fintech, financial services, or highly regulated environments
- Security engineering background with focus on data protection and access controls
Technologies We Use
- Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran
- Storage: GCS, S3
- Infrastructure: Terraform, Kubernetes, GCP, AWS
- Languages: Python, Go, SQL
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
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
Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. Our mission is to provide data processing, storage, and access that are trusted, fast, and easy to use. We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You'll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability.
Responsibilities
Within Data Infra, you may be matched to critical business areas including:
- Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data. Build infrastructure for permission management, audit logging, and compliance requirements. Work on IAM policies, ACLs, and security controls that scale across thousands of users and systems.
- Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for complex financial systems, including third party revenue ingestion pipelines; manage the external relationships as needed to drive upstream dependencies. Own the reliability of systems processing revenue, usage, and business metrics.
- Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-scale data. Ensure high availability and durability of data stored in cloud object storage (GCS, S3). Build systems that protect against data loss and enable rapid recovery.
- Data Platform & Tooling: Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark. Optimize query performance, manage costs, and enable self-service analytics across the organization.
You Might Be a Good Fit If You
- Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems
- Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
- Can set technical direction for a team, not just execute within it
- Have deep experience with at least one of:
- Strong proficiency in programming languages like Python, Go, Java, or similar
- Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS)
- Can navigate complex technical tradeoffs between performance, cost, security, and maintainability
- Have excellent collaboration skills - you work well with both technical and non-technical stakeholders
Strong Candidates May Also Have
- Experience with security and compliance requirements (ITGC, GDPR, financial controls)
- Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure
- Experience with Kubernetes, containerization, and cloud-native architectures
- Track record of improving data reliability, availability, or cost efficiency at scale
- Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks
- Experience working in fintech, financial services, or highly regulated environments
- Security engineering background with focus on data protection and access controls
Technologies We Use
- Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran
- Storage: GCS, S3
- Infrastructure: Terraform, Kubernetes, GCP, AWS
- Languages: Python, Go, SQL
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
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 53+ Staff Engineer Jobs at Anthropic
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Staff Engineer Jobs at Anthropic.
Get Access To All JobsTips for Finding Staff Engineer Jobs at Anthropic
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.
Confirm your visa category before applying
Anthropic sponsors H-1B, H-1B1 visa, and E-3 visas. If you're Australian, the E-3 path avoids the lottery entirely. Know which category fits your citizenship before your recruiter screen so the sponsorship conversation doesn't stall at the offer stage.
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.
Frequently 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 visa, 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 visa, 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.