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Anthropic

Staff Software Engineer, Environments Infrastructure

Anthropic · San Francisco, CA | New York City, NY

Posted about 2 months ago

or apply directly on Anthropic's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
Anthropic's roles stay open a median of 62 days
Reposted
No
Salary listed
No
0% of Anthropic's roles list one
Ghost-job risk at Anthropic
high
449 stale, 19 reposted of 603 open
Hiring momentum
795 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from Anthropic's own greenhouse board since 2026-08-03. Full hiring picture for Anthropic.

About this role

As a Staff Software Engineer in the Environments Infrastructure team at Anthropic, you will design and maintain the frameworks and APIs that enhance the capabilities of AI systems through reinforcement learning. Your role involves embedding with research teams, ensuring the reliability of production systems, and creating tools that enable researchers to manage their environments effectively. You will also be responsible for driving the adoption of new frameworks and setting engineering standards within the team.

Our read on this posting2.8out of 5
benefits
3/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Anthropic as an employer.

What you need

  • Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant code
  • Strong taste in API and framework design, with a track record of frameworks being adopted by other engineers or teams
  • Experience designing or operating stateful concurrent or distributed systems, with careful reasoning about failure, retries, idempotency, and consistency
  • A habit of verification, measuring before concluding and building checks for system correctness
  • Experience working productively in large, evolving, or research-style codebases
  • Strong written and verbal communication skills with collaborators of varied engineering backgrounds, and comfort with ambiguity

Nice to have

  • Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows
  • Experience building agent frameworks, orchestration engines, or multi-agent systems
  • Experience using AI coding tools on code where correctness matters
  • Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms
  • Experience with large-scale data processing, dataset lifecycle management, or data lineage systems

What you get

  • Competitive compensation
  • Generous vacation and parental leave
  • Flexible working hours
  • Lovely office space for collaboration
  • Optional equity donation matching

Worth weighing

  • No specific mention of remote work beyond the hybrid policy requiring 25% office presence
  • The role involves working with messy research code, which may require patience and adaptability
  • Visa sponsorship is available, but not guaranteed for every role or candidate

Summarised from Anthropic's posting. Read the full original.

Listed by Anthropic on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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