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Anthropic

Staff + Sr. Software Engineer, Scaling

Anthropic · New York City, NY; San Francisco, CA | Seattle, WA

Posted 23 days ago

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

Is this posting real?

This role has been open
23 days
Anthropic's roles stay open a median of 40 days
Reposted
No
Salary listed
No
0% of Anthropic's roles list one
Ghost-job risk at Anthropic
high
276 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
2026-09-17

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

In this role, you will be part of the Inference team at Anthropic, focusing on building and scaling systems that serve the AI model Claude to millions of users. Your responsibilities will include designing distributed systems, developing intelligent routing and load balancing mechanisms, and optimizing compute efficiency across multiple cloud platforms. You will also work on production-grade deployment pipelines and support the integration of new AI accelerator platforms.

Our read on this posting3.2out of 5
benefits
3/5
freshness
4/5
career value
4/5
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

  • Significant software engineering experience, particularly with distributed systems
  • Results-oriented, with a bias towards flexibility and impact
  • Willingness to pick up slack, even if it goes outside your job description
  • Desire to learn more about machine learning systems and infrastructure
  • Thrive in environments where technical excellence directly drives both business results and research breakthroughs
  • Care about the societal impacts of your work

Nice to have

  • Experience with high-performance, large-scale distributed systems
  • Experience implementing and deploying machine learning systems at scale
  • Experience with load balancing, request routing, or traffic management systems
  • Familiarity with LLM inference optimization, batching, and caching strategies
  • Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure)

What you get

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

Worth weighing

  • No specific mention of remote work flexibility beyond the hybrid policy
  • Visa sponsorship is available but not guaranteed for every role or candidate
  • The role involves significant responsibility in a high-performance, distributed systems environment

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

Listed by Anthropic on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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