Anthropic

3 months ago

Senior Staff+ Software Engineer, Node Infra

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Staff Infrastructure Engineer responsible for node lifecycle across accelerator hardware, driving multi-cloud AI cluster scaling, building automated health and repair systems, and shaping long-term compute and infrastructure strategy. You’ll own architecture, partner with cloud providers and research teams, and mentor engineers to improve fleet reliability and performance for frontier AI research.

Location: San Francisco, New York, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair
•Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families
•Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity
•Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others
•Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy

Pay and Benefits

Salary: USD 320,000 - 405,000 annually

Equity and Bonus:Equity

Perks:EquityPaid LeaveParental LeaveRemote Work

Key Requirements

•Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
•Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform
•Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium)
•Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems
•Ability to build alignment across senior stakeholders and communicate effectively at all levels

Experience:CloudInfrastructureDistributed systemsAI

Education:Bachelor's

Skills:KubernetesTerraformRustGoPythonAWSGCPAzureGPUsTPUsTrainiumDistributed systemsReliabilityCloud platforms

Languages:English

Tech Stack:KubernetesTerraformRustGoPythonAWSGCPAzureGPUsTPUsTrainium

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn

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Anthropic

3 months ago

Senior Staff+ Software Engineer, Node Infra

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco, New York, Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair
•Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families
•Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity
•Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others
•Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy

Pay and Benefits

Salary: USD 320,000 - 405,000 annually

Equity and Bonus:Equity

Perks:EquityPaid LeaveParental LeaveRemote Work

Key Requirements

•Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
•Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform
•Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium)
•Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems
•Ability to build alignment across senior stakeholders and communicate effectively at all levels

Experience:CloudInfrastructureDistributed systemsAI

Education:Bachelor's

Skills:KubernetesTerraformRustGoPythonAWSGCPAzureGPUsTPUsTrainiumDistributed systemsReliabilityCloud platforms

Languages:English

Tech Stack:KubernetesTerraformRustGoPythonAWSGCPAzureGPUsTPUsTrainium

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn