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Engineering Manager

Cerebras

Toronto · On-site Full-time Lead 3d ago

About the role

About

Act as a driving force for innovative AI inference solutions as an Engineering Manager. Champion the design and scalability of cutting-edge ML runtime systems for seamless model execution.

In this pivotal role, you'll lead a cross-functional team committed to optimizing AI inference for a variety of advanced models. Your expertise in distributed systems and runtime engineering will be key in translating AI research into functional infrastructure. Your leadership will help define the future of real-time AI applications across diverse use cases.

Responsibilities

  • Own the architecture of ML inference systems
  • Develop efficient, concurrent workload infrastructure
  • Collaborate with teams to boost end-to-end performance
  • Recruit and nurture top talent in ML engineering
  • Maintain stringent quality control and deployment standards

Requirements

  • 8+ years in large-scale software or ML systems
  • 2+ years in a managerial capacity
  • Proficient programming in Python and C++
  • Experience with large-scale AI inference architectures
  • Familiarity with cloud-based microservices best practices

Lead the charge in enhancing AI inference technologies that unlock new possibilities in enterprise-level applications.

Skills

C++Python

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