Teams at Cerebras Systems Inc.

Build and evolve production ML inference APIs and serving infrastructure across GPU and Cerebras accelerator backends. Responsibilities include API design, model integration, request routing, disaggregated prefill/decode coordination, performance optimization, correctness validation, observability, testing, SDKs, and developer tooling. The role requires close collaboration across compiler, runtime, cloud, product, and customer-facing teams to deliver reliable, compatible, scalable inference capabilities.

Designs deployment-ready AI data center infrastructure, including rack layouts, equipment placement, bills of materials, power allocations, port maps, and cabling. Adapts cluster designs to site constraints, validates integrated compute, storage, networking, and power systems, supports deployment readiness, resolves integration issues, and automates design and validation workflows using scripts and reusable tools.

Own and scale major areas of Cerebras’s Developer Console, including billing, usage tracking, quotas, request logs, and metrics. Design frontend systems and backend services using Next.js, TypeScript, GraphQL, Postgres, and Redis. Make architectural decisions across APIs, data models, distributed systems, and real-time processing. Lead projects from conception through production, improve reliability and observability, partner with product and design, and mentor engineers.