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Staff+ Software Engineer, Node Infra

AnthropicSan Francisco, CA | New York City, NY | Seattle, WASoftware Engineering - Infrastructure
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Salary
Not listed
Job type
Full-time
Posted
28 Apr 2026
Status
Open · checked 7d ago

About this role

The Staff+ Software Engineer, Node Infra position at Anthropic involves owning the full lifecycle of accelerator capacity across major cloud providers and custom datacenters in San Francisco, CA, New York City, NY, or Seattle, WA. This opportunity suits experienced engineers with a background in distributed systems and large-scale compute infrastructure who want to support frontier AI research.

Role Overview

The Infrastructure organization at Anthropic is foundational to building reliable, interpretable, and steerable AI systems. The Node Infra team manages the complete lifecycle of accelerator capacity, including ingesting compute, scaling large AI compute fleets, and building health and repair automation for hardware. This role shapes the technical strategy and operational excellence for massive compute infrastructure that powers AI research and scales Claude to millions of users.

Key Responsibilities

Own the technical strategy and roadmap for node lifecycle management, covering ingestion, bring-up, health checking, and automated repair.
Drive cross-team initiatives to build and scale AI clusters across multiple cloud platforms and accelerator families.
Design and operate systems that automatically detect, isolate, and remediate unhealthy hardware to maximize fleet mean time between interruptions and minimize stranded capacity.
Define infrastructure architecture to solve complex problems independently and by guiding other engineers.
Collaborate closely with cloud providers and internal research, inference, and product teams to shape long-term compute and infrastructure strategy.
Establish and evolve operational excellence practices, including incident response, postmortem culture, and on-call rotations.
Support the professional growth of nearby engineers through technical mentorship and coaching.

Requirements

Deep expertise in distributed systems, reliability, and cloud platforms like Kubernetes, Infrastructure as Code, AWS, GCP, or Azure.
Strong proficiency in at least one systems language such as Rust, Go, or Python, alongside Terraform proficiency.
Hands-on experience working with machine learning accelerators including GPUs, TPUs, or Trainium.
Proven track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems.
Ability to build alignment across senior stakeholders and communicate effectively at all organizational levels.
Minimum of 10 years of software engineering experience, including technical leadership setting direction for a team.
Bachelor's degree or an equivalent combination of education, training, and experience in a relevant field of study.

Nice to Have

Experience managing large-scale compute infrastructure at hyperscale involving 10,000+ nodes, capacity management, and efficiency.
Specialized depth in Kubernetes internals, cluster orchestration systems, or node provisioning pipelines.
Low-level systems experience with kernels, virtualization, device drivers, firmware, or hardware health and diagnostics daemons.
Familiarity with high-performance networking like EFA, RDMA, or InfiniBand for distributed machine learning workloads.
Demonstrated ownership of production reliability for high-throughput, latency-sensitive systems.
Contributions to relevant open-source projects such as Kubernetes, the Linux kernel, or container runtimes.

Skills and Tools

Python
Rust
Terraform
AWS, GCP, Azure
Kubernetes
Machine Learning Accelerators (GPUs, TPUs, Trainium)

Salary and Benefits

Annual salary range of $320,000 to $485,000 USD.
Competitive compensation and benefits package.
Optional equity donation matching.
Generous vacation and parental leave policies.
Flexible working hours.
Visa sponsorship availability with dedicated immigration lawyer support.
Location-based hybrid policy requiring time in the office at least 25% of the time.

About the Company

Anthropic is a public benefit corporation on a mission to create reliable, interpretable, and steerable AI systems that are safe and beneficial for society. Operating as a collaborative group of researchers, engineers, policy experts, and business leaders, the company approaches AI research as an empirical science akin to physics and biology. Anthropic values high-impact work on large-scale research efforts and maintains a supportive, diverse team environment.

How to Apply

To apply for this position, please visit the official Anthropic careers page to submit your application and review any additional instructions.

Skills and tech stack

PythonAWSGCPAzureKubernetesRustTerraform

Questions candidates ask

What is the location of the Staff+ Software Engineer, Node Infra role?

The role is based out of Anthropic offices in San Francisco, CA, New York City, NY, or Seattle, WA, with a location-based hybrid policy requiring at least 25% time in the office.

What is the salary range for this position?

The annual base salary range is between $320,000 and $485,000 USD.

Does Anthropic offer visa sponsorship for this role?

Yes, Anthropic sponsors visas and retains an immigration lawyer to assist candidates who receive an offer.

What experience level is required?

Candidates need a minimum of 10 years of software engineering experience, including time as a technical lead setting direction for a team.

How should I submit my application?

Candidates should apply directly through the official Anthropic careers website.

Ready to apply?

The application is on the official Anthropic careers page.

Apply on company site