Редкий шанс строить базовую инфраструктуру для одной из ведущих AI-моделей в мире. Роль четко определена, стек современный, а влияние на продукт - колоссальное.
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Hirify AI/Оригинал
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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