Anthropic
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'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 yourework 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 Python 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
The expectedbase compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. $320,000 - $485,000 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. If we make you an offer, we will make every reasonable effort to get you a visa. Guidance on Applicants
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. We value diversity and inclusion and strive to include a range of perspectives on our team. 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 a few large-scale research efforts and value impact — advancing steerable, trustworthy AI — rather than focusing on smaller puzzles. We are collaborative and value communication skills. The easiest way to understand our research directions is to read our recent work, 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 with offices in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office space. Guidance on AI usage in our application process is provided. Voluntary Self-Identification
For government reporting purposes, we ask candidates to respond to a voluntary self-identification survey. Completion is voluntary and confidential; it will not be used in hiring decisions. As an equal opportunity employer, we do not discriminate on protected status. This section includes information about veteran status and disability status as applicable to government reporting requirements. Information collected is used solely for compliance with EEO laws.
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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
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 yourework 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 Python 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
The expectedbase compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. $320,000 - $485,000 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. If we make you an offer, we will make every reasonable effort to get you a visa. Guidance on Applicants
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. We value diversity and inclusion and strive to include a range of perspectives on our team. 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 a few large-scale research efforts and value impact — advancing steerable, trustworthy AI — rather than focusing on smaller puzzles. We are collaborative and value communication skills. The easiest way to understand our research directions is to read our recent work, 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 with offices in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office space. Guidance on AI usage in our application process is provided. Voluntary Self-Identification
For government reporting purposes, we ask candidates to respond to a voluntary self-identification survey. Completion is voluntary and confidential; it will not be used in hiring decisions. As an equal opportunity employer, we do not discriminate on protected status. This section includes information about veteran status and disability status as applicable to government reporting requirements. Information collected is used solely for compliance with EEO laws.
#J-18808-Ljbffr