Cerebras powers the world's fastest AI inference on the biggest wafer chip. Cerebras CS-4 delivers up to 30x faster inference than GPUs.
About the role
Cerebras operates AI clusters across a growing number of data centers. As the fleet expands, the software used to monitor and manage it must scale with it. We are seeking a senior software engineer to build the platforms and tools that help our teams understand fleet health, respond to issues, and keep compute capacity available. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 12+ years of industry experience building and operating production distributed systems or large-scale infrastructure software
- Strong Go skills. You will work with Go, Protocol Buffers, and SQL regularly. Python experience is an added benefit
- Experience building control planes, fleet management systems, or operational platforms
- Experience designing APIs and data models that serve multiple consumers, with a considered approach to versioning and compatibility
- Experience building asynchronous systems that support idempotency, concurrency, and reconciliation while preventing unintended state drift
- A strong testing practice, especially for software that can change the state of running production clusters
More about this role
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
Cerebras operates AI clusters across a growing number of data centers. As the fleet expands, the software used to monitor and manage it must scale with it. We are seeking a senior software engineer to build the platforms and tools that help our teams understand fleet health, respond to issues, and keep compute capacity available.
You will own substantial engineering work across backend services, operational tools, and user-facing applications. You will partner with Cluster Operations,...
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