Full Stack Engineer - Console Team
Cerebras Systems2 months ago
Sunnyvale, CA, USAEntry Level / Mid Level
H1B sponsor
Responsibilities
- Build and evolve APIs, backend services, and user interfaces for the Developer Console.
- Design system boundaries, data models, and tradeoffs involving real-time versus batch processing, performance, and cost.
- Own projects from ambiguous initial concepts through production and scale.
- Take ownership of platform areas including billing, request logs, metrics, usage tracking, quotas, and observability.
- Partner with product and design to shape developer-facing workflows and experiences.
Requirements
- Typically 1–3 years of industry experience building and operating production systems.
- Bachelor’s or master’s degree in computer science, or equivalent practical experience.
- Strong backend fundamentals in APIs, data modeling, and distributed systems; high-scale or real-time systems experience is a plus.
- Ability to work across frontend and backend and make pragmatic technical tradeoffs.
- Strong architectural judgment and ability to balance optimization with delivery speed.
- Ability to operate independently in ambiguous, fast-moving environments and drive execution.
- High standards for correctness, maintainability, and long-term system health.
Benefits
- Opportunity to build an AI platform beyond GPU constraints and work on a high-speed AI supercomputer.
- Opportunities to publish and open source AI research.
- Job stability with startup vitality and a simple, non-corporate culture.
- Inclusive work environment supporting continuous learning, growth, and collaboration.
Tech Stack
Categories
About Cerebras Systems
Cerebras Systems designs and sells AI compute systems built around its wafer-scale WSE-3 processor, delivered as the CS-3 appliance and via the Cerebras Cloud. It targets enterprises, model labs, and government users needing fast training and inference, and offers on‑prem and cloud deployments. Privately held and headquartered in Sunnyvale, California, the company announced a multi-year partnership with OpenAI to deploy large-scale inference capacity.