The opportunity
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.
What you'll do
Own critical backend systems. Take end-to-end responsibility for capabilities: such as billing, usage metering, quotas, account management, request logs, and metrics.
Build services across Inference Cloud. Design and implement APIs, backend: services, and data pipelines that support the Developer Console and other cloud systems.
Design for correctness and scale. Define service boundaries, data models, and: processing patterns, making pragmatic tradeoffs across consistency, real-time and batch processing, performance, and cost.
Connect systems reliably. Build integrations between customer-facing: workflows, internal services, and infrastructure, with clear contracts and robust handling of failures and retries.
Drive projects from idea to production. Turn ambiguous needs into concrete: designs, break down the work, and deliver solutions that grow with customer usage.
Operate what you build. Improve observability, debugging, testing, and: recovery; investigate production issues and address their underlying causes.
What they're looking for
- Lead through technical ownership. Guide design reviews, mentor engineers, and: coordinate execution across teams.
- Partner across engineering and product. Work with frontend engineers and: other stakeholders to translate customer needs into dependable backend capabilities.
- Strong backend engineering fundamentals. Experience designing APIs, services,: data models, and distributed systems, with a practical understanding of concurrency, consistency, caching, and failure handling.
- A track record of ownership. You’ve designed, delivered, and operated complex: production systems, taking responsibility for their behavior after launch.
