Cerebras

Staff Software Engineer, Observability

Sunnyvale, CA, Remote. Posted 23 days ago

The role

This person will own the long-term architecture and roadmap for the observability platform. They will design telemetry pipelines for Wafer-Scale Engines and Kubernetes clusters while bridging hardware and software observability.

What you will do

  • Own the long-term architecture and roadmap for the observability platform.
  • Drive adoption through RFCs, design reviews, and stakeholder partnership.
  • Design telemetry pipelines for high-cardinality, high-frequency data.
  • Solve ingestion and query performance problems.
  • Partner with Engineering, SRE, Hardware, and ML Infrastructure teams to define SLOs and alerting strategies.
  • Create tooling to accelerate root cause analysis and reduce MTTR.
  • Surface hardware health signals into a unified observability layer.
  • Design and implement instrumentation libraries and standards using OpenTelemetry.
  • Mentor senior engineers and influence engineering practices.
  • Establish conventions that scale across teams.

Required qualifications

  • 8+ years of software engineering experience
  • 4+ years building or operating observability/monitoring platforms at significant scale
  • Deep expertise in the open-source observability ecosystem
  • Experience with OpenTelemetry for instrumentation across a polyglot services environment
  • Strong distributed systems and Kubernetes expertise
  • Experience with observability cost management and capacity planning at scale
  • Track record of setting technical direction and driving adoption across multiple teams

Nice to have

  • Proficiency in Go

Benefits

  • Build a breakthrough AI platform beyond the constraints of the GPU
  • Publish and open source cutting-edge AI research
  • Work on one of the fastest AI supercomputers in the world
  • Job stability with startup vitality
  • Simple, non-corporate work culture that respects individual beliefs

About the company

Cerebras Systems builds the world's largest AI chip. The company works with leading model labs, global enterprises, and cutting-edge AI-native startups.