Anthropic

Staff + Senior Software Engineer, Inference

Anthropic · Ontario, CAN

Posted about a month ago

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

Is this posting real?

This role has been open
30 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 on the Inference team, you will design, build, and maintain distributed systems that serve the AI model Claude to millions of users. Your responsibilities will include developing intelligent request routing and load balancing systems, maximizing compute efficiency, and operating production-grade deployment pipelines. You will also integrate new AI accelerator platforms and support inference for new model architectures, all while ensuring high performance and reliability in serving customer demands.

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

  • 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 salary listed
  • Location-based hybrid policy requiring at least 25% office presence
  • Visa sponsorship available but not guaranteed for every role or candidate
  • Encouragement for candidates from underrepresented groups to apply even if they don't meet every qualification

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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