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 a major area of the platform: take end-to-end responsibility for systems such as billing, usage tracking, quotas, request logs, or metrics.
Build and evolve core systems: design and implement APIs, services, and UI that power the Developer Console and scale with growing customer usage.
Make architectural decisions: define system boundaries, data models, and tradeoffs across real-time vs batch processing, performance, and cost.
Drive projects from 0 → 1 → scale: take ambiguous problems, define solutions, and deliver them to production.
Lead technical execution: break down work, align engineers, and ensure high-quality delivery across the stack.
Improve system reliability and visibility: ensure systems are observable, debuggable, and production-ready.
What they're looking for
- Partner with product and design: shape developer-facing workflows and experiences.
- Track record of ownership: you’ve led and delivered complex systems end-to-end, not just contributed components.
- Technical depth in backend systems: strong fundamentals in APIs, data modeling, and distributed systems; experience with high-scale or real-time systems is a plus.
- Full-stack capability: comfortable working across frontend and backend, with the ability to make pragmatic tradeoffs.
