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Principal Engineer, AI Inference Reliability

cerebras · United States and Canada

New
Senior 🇬🇧 English
Python C++ Go Rust

Job description

About the role

We’re looking for a hands‑on Reliability Tech Lead (individual contributor) to own the mission of making Cerebras Inference the most reliable AI service in the world. You will drive reliability strategy and execution across the inference stack, from client SDKs and public‑cloud deployments to wafer‑scale systems in specialized data centres.

Key responsibilities

  • Define and drive reliability strategy, establishing SLOs and aligning them across engineering teams.
  • Design and implement reliability mechanisms such as fault detection, graceful degradation, failover, throttling, and recovery across multiple regions and data centres.
  • Lead large‑scale incident management, own post‑mortems, root‑cause analysis, and prevention loops.
  • Architect for reliability and observability, influencing system design for redundancy, durability, and debuggability.
  • Develop internal tooling for chaos testing, load simulation, and distributed fault injection.
  • Collaborate with software, infrastructure, and hardware teams to embed reliability throughout the inference service.
  • Monitor and communicate reliability metrics via dashboards and alerts.
  • Mentor engineers and set best practices for designing, testing, and operating large‑scale reliable systems.

Required profile

  • Bachelor’s or master’s degree in computer science or a related field.
  • 7+ years of experience in backend, infrastructure, or reliability engineering for large‑scale distributed systems.
  • Strong programming skills in at least one backend language such as Python, C++, Go, or Rust.
  • Deep experience with reliability principles: SLO/SLI/SLA design, incident response, and post‑mortem culture.
  • Excellent communication and cross‑functional leadership abilities.

Required skills

  • Python
  • C++
  • Go
  • Rust

What we offer

  • Opportunity to build a breakthrough AI platform beyond GPU constraints.
  • Publish and open‑source cutting‑edge AI research.
  • Work on one of the fastest AI supercomputers in the world.
  • Job stability with startup vitality.
  • A simple, non‑corporate work culture that respects individual beliefs.

Questions fréquentes

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Source : ats:ashby

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Published 10 hours ago

Expires 1 month from now

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cerebras

United States and Canada