AI Fleet Platform Software Engineer

The role

You will build platforms and tools to monitor and manage large fleets of AI clusters. You will own engineering work across backend services, operational tools, and user-facing applications.

What you will do

• Build and operate software for managing large fleets of AI clusters
• Give operators clear, actionable views of cluster health, capacity, performance, and ongoing issues
• Develop services and integrations that bring together data and workflows from multiple infrastructure systems
• Automate repetitive work and improve tools used to investigate incidents and restore service
• Design systems that remain reliable as the fleet grows and function through component and site failures
• Work closely with users of the platform to understand their needs
• Lead projects from initial design to production and use operational feedback to guide improvements

Required qualifications

• 12+ years of industry experience building and operating production distributed systems or large-scale infrastructure software
• Strong Go skills
• Experience with Go, Protocol Buffers, and SQL
• Experience building control planes, fleet management systems, or operational platforms
• Experience designing APIs and data models that serve multiple consumers
• Experience building asynchronous systems that support idempotency, concurrency, and reconciliation
• A strong testing practice
• Experience with Linux, containers, and Kubernetes
• Experience with durable workflow execution, event streaming, or time-series telemetry at high cardinality
• Sound judgment about reliability, security, and observability

Nice to have

• Python experience
• Building infrastructure software for thousands of hosts across multiple sites
• Developing software for incident response, hardware health, or capacity management
• Deploying and operating services on AWS
• Working with AI or HPC clusters and their compute, networking, and hardware systems
• Developing dashboards or applications for infrastructure operators

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

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.