Staff+ Software Engineer, Infrastructure (Distributed Systems)

Anthropic; Seattle (WA); Hybrid; USD 320,000 - 485,000; Full time

Job summary

Anthropic is seeking a Staff+ Software Engineer for the Infrastructure organization in Seattle to independently scope and lead multi-month infrastructure projects, shaping the technical direction across teams. You will work with research and product partners to design scalable, secure systems, and ensure reliability as complexity grows.

You will drive architectural decisions, own operational processes, and mentor other engineers while aligning with company goals of safe and beneficial AI.

Qualifications

• Experience designing, building, and operating large-scale distributed systems or infrastructure in production.
• A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects.
• Experience making architectural decisions that other engineers and teams build on top of.
• Strong software engineering fundamentals and proficiency in at least one programming language (e.g., Python, Rust, Go, or Java).
• Experience with modern cloud infrastructure, including Kubernetes and infrastructure-as-code, on AWS and/or GCP.
• Strong written and verbal communication skills, with experience driving alignment across multiple teams or stakeholders.

Responsibilities

• Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system.
• Make architectural decisions that shape the foundation of infrastructure other engineers and teams build on.
• Drive alignment on technical direction across multiple teams, working through ambiguous problem spaces.
• Partner with research and product teams to understand their infrastructure and compute needs, and translate them into technical designs.
• Take ownership of the reliability, scalability, and security of the systems you build as usage and complexity grow.
• Set technical strategy and standards for your team's infrastructure.
• Build and improve operational processes, such as incident response, postmortems, and on-call rotations, that help the team learn from every incident.
• Mentor other engineers and help raise the technical bar for the team.

Skills

Distributed systems

Architectural decisions

Cloud infrastructure

Kubernetes

Programming fundamentals

Education

Bachelor’s degree

Tools

AWS

GCP

Infrastructure as Code

Job description

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 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

Anthropic's Infrastructure organization builds and operates the distributed systems that train, serve, and secure our AI models, including data pipelines, some of the largest Kubernetes clusters in the world, along with the databases, observability, and developer tooling that every other team at Anthropic depends on. As a Staff+ Software Engineer on our Infrastructure team, you'll independently scope and lead complex, multi-month infrastructure projects, make the architectural decisions other engineers build on, and work closely with research and product teams to understand their needs and build systems that keep pace as those needs evolve.

• Team placement happens after the interview process, based on your interests and experience alongside organizational needs. This lets us match you with the team where you'll have the most impact.

Key Responsibilities

• Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system
• Make architectural decisions that shape the foundation of infrastructure other engineers and teams build on
• Drive alignment on technical direction across multiple teams, working through ambiguous problem spaces
• Partner with research and product teams to understand their infrastructure and compute needs, and translate them into technical designs
• Take ownership of the reliability, scalability, and security of the systems you build as usage and complexity grow
• Set technical strategy and standards for your team's infrastructure
• Build and improve operational processes, such as incident response, postmortems, and on-call rotations, that help the team learn from every incident
• Mentor other engineers and help raise the technical bar for the team

Minimum Qualifications

• Experience designing, building, and operating large-scale distributed systems or infrastructure in production
• A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects
• Experience making architectural decisions that other engineers and teams build on top of
• Strong software engineering fundamentals and proficiency in at least one programming language (for example, Python, Rust, Go, or Java)
• Experience with modern cloud infrastructure, including Kubernetes and infrastructure-as-code, on AWS and/or GCP
• Strong written and verbal communication skills, with experience driving alignment across multiple teams or stakeholders

Preferred Qualifications

• 10+ years of software engineering experience, not including internships
• Experience with machine learning infrastructure, such as GPUs, TPUs, or Trainium, and associated networking infrastructure like NCCL
• Low-level systems experience, such as Linux kernel tuning or eBPF
• Background in security or privacy engineering best practicesPrior experience as a technical lead or mentor for other engineers

Deadline to apply: None. Applications are reviewed on a rolling basis.

The annual compensation range for this role is listed below.

Annual Salary

$320,000—$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.

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.

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.