Cerebras Systems
Staff Software Engineer - Observability
Sunnyvale, CA · Staff+
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About the role
- Join us to help scale inference and accelerate AI.
- This role sits at the intersection of platform engineering, distributed systems, and reliability.
- This is not a dashboards-only role - you'll be writing production software, shaping internal platforms, and working closely with engineers across the stack.
Responsibilities
- Design and implement observability instrumentation across services and platforms
- Build and maintain telemetry pipelines for metrics, logs, and traces at scale
- Develop internal observability platforms, libraries, and tooling
- Partner with engineers to make systems debuggable by design
Requirements
- Strong experience in backend or systems software engineering
- Proficiency in one or more of:
- Hands-on experience with:
- Familiarity with tools such as:
- Experience designing:
- Go, C++, Rust, Java, Python
- Distributed systems
- Networking fundamentals
- Concurrency and performance tradeoffs
Nice to have
- Experience in high-performance computing, AI/ML systems, or inference platforms
- Hardware-aware observability (accelerators, GPUs, custom hardware)
- Prior SRE or platform engineering background
- Experience debugging large-scale production incidents
- Why Join Cerebras
- With dozens of model releases and rapid growth, we've reached an inflection point in our business.
- Members of our team tell us there are five main reasons they joined Cerebras:
- Publish and open source their cutting-edge AI research.
Skills
- Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.
Benefits
- Create clear, actionable dashboards and alerts that reflect real system health
Company info
- The Cerebras Inference team's mission is to deliver the world's most performant, secure, and reliable enterprise-grade AI service.
- We build and operate large-scale distributed systems that power AI inference at unprecedented speed and efficiency.
- We're looking for a Software Engineer focused on Observability to build and evolve the systems that give us deep visibility into large-scale, performance-critical production systems.
- You'll design and implement metrics, logging, tracing, and alerting infrastructure that enables fast debugging, high reliability, and confident operation of complex distributed systems.
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Our simple, non-corporate work culture that respects individual beliefs.
This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.