Lead AI Inference Reliability Engineer

Cerebras Systems; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Job stability with startup vitality

Simple, non-corporate work culture

Opportunity to work on AI supercomputers

Job summary

Cerebras Systems is seeking a hands-on Reliability Tech Lead to ensure their AI inference service is world-class in reliability. You will drive strategies and execute reliable systems across public-cloud deployment and specialized data centers.

Ideal candidates will have 7+ years in reliability engineering for distributed systems, strong programming skills, and the ability to collaborate across teams. Join us to work on groundbreaking AI technologies and enjoy a vibrant, inclusive culture.

Qualifications

• 7+ years of experience in backend, infrastructure, or reliability engineering for large-scale distributed systems.
• Strong programming skills in at least one popular backend programming language such as Python, C++, Go, or Rust.
• Deep experience of reliability principles: SLO/SLI/SLA design, incident response, and postmortem analysis.

Responsibilities

• Define and drive reliability strategy: establish SLOs and ensure alignment across engineering.
• Design and implement reliability mechanisms: build systems for fault detection and recovery.
• Lead large-scale incident management: perform postmortems and root-cause analysis.
• Monitor and communicate reliability metrics: build dashboards for service health.

Skills

Backend infrastructure engineering

Incident response

SLO/SLI/SLA design

Programming in Python, C++, Go, or Rust

Cross-functional leadership

Education

Bachelor's or master's degree in computer science or related field

Job description

Cerebras Systems is seeking a hands-on Reliability Tech Lead to ensure their AI inference service is world-class in reliability. You will drive strategies and execute reliable systems across public-cloud deployment and specialized data centers.

Ideal candidates will have 7+ years in reliability engineering for distributed systems, strong programming skills, and the ability to collaborate across teams. Join us to work on groundbreaking AI technologies and enjoy a vibrant, inclusive culture.