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Описание вакансии
Текст:
TL;DR
Staff + Senior Software Engineer, Inference (AI) (Distributed Systems/ML Infrastructure): Building and operating high-performance distributed inference systems that serve Claude across diverse AI accelerators and cloud platforms with an accent on intelligent routing, fleet-wide orchestration, and compute efficiency. Focus on designing autoscaling and deployment pipelines, integrating new accelerator platforms, and supporting reliable inference for next-generation model architectures.
Location: Ontario, Canada. Hybrid policy: staff are expected to work from one of the offices at least 25% of the time; some roles may require more office attendance.
Company
Anthropic builds reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.
What you will do
- Design, build, and maintain distributed systems serving Claude to millions of users worldwide.
- Develop intelligent request routing, load balancing, traffic management, autoscaling, and fleet orchestration across thousands of accelerators.
- Build and operate production-grade deployment pipelines for releasing new models reliably.
- Provide high-performance inference infrastructure for machine learning research and next-generation models.
- Integrate new AI accelerator platforms and support inference for new model architectures.
- Analyze observability data and tune performance across multi-region deployments and geographic routing systems.
Requirements
- Significant software engineering experience, particularly with distributed systems.
- Experience with high-performance, large-scale distributed systems and/or machine learning systems at scale.
- Experience with load balancing, request routing, or traffic management systems.
- Familiarity with LLM inference optimization, batching, and caching strategies.
- Proficiency in Python or Rust; familiarity with Kubernetes and AWS, GCP, or Azure is preferred.
- Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.
Culture & Benefits
- Collaborative work across research, engineering, policy, and business teams.
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours and office collaboration.
- Visa sponsorship is available, with reasonable efforts and immigration-lawyer support for successful candidates.
Hiring process
- Applications are reviewed on a rolling basis with no stated deadline.
- Candidates should follow Anthropic’s guidance on AI usage during the application process.
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