Senior AI Inference Reliability Engineer

Cerebras; United States; On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Inclusive work environment

Opportunities for continuous learning

Startup vitality with job stability

Job summary

Cerebras is seeking a Reliability Tech Lead to ensure the reliability of our AI inference service. You will be responsible for defining reliability strategies and managing large-scale incidents, while working with a diverse engineering team to enhance system resilience.

If you're passionate about building reliable, high-performance distributed systems, this role offers the opportunity to work at the forefront of AI technology with a dynamic team committed to innovation.

Qualifications

• 7+ years of experience in backend, infrastructure, or reliability engineering for large-scale distributed systems.
• Deep experience of reliability principles: SLO/SLI/SLA design, and post-mortem culture.
• Strong programming skills in at least one popular backend language.

Responsibilities

• Define and drive reliability strategy: establish SLOs and ensure alignment across engineering.
• Architect for reliability and observability: influence system design for redundancy and durability.
• Lead large-scale incident management: own post-mortems, root-cause analysis.

Skills

Backend programming languages (Python, C++, Go, Rust)

Reliability engineering

Incident response

Communication skills

Education

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

Job description

Cerebras is seeking a Reliability Tech Lead to ensure the reliability of our AI inference service. You will be responsible for defining reliability strategies and managing large-scale incidents, while working with a diverse engineering team to enhance system resilience.

If you're passionate about building reliable, high-performance distributed systems, this role offers the opportunity to work at the forefront of AI technology with a dynamic team committed to innovation.