Senior Fullstack Engineer - Inference Console
Sunnyvale, CA • FullTime
Posted 1mo ago
Job Location
Sunnyvale, CA
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
Cerebras Systems is seeking a Senior Fullstack Engineer to take ownership of and scale critical components of the Cerebras Developer Console. This role involves building high-quality frontend systems using Next.js and TypeScript, and designing backend services with GraphQL, Postgres, and Redis to manage usage tracking, billing, quotas, and observability. The systems will operate at high scale, requiring careful data modeling and balancing real-time and batch processing. The ideal candidate will make strong architectural decisions, drive projects from conception to production, and take end-to-end responsibility for major platform areas like billing and request logs. This is a deeply technical, end-to-end role focused on impacting customer experience and revenue.
Responsibilities
- Own and scale major platform areas such as billing, usage tracking, quotas, request logs, or metrics.
- Design and implement APIs, services, and UI for the Developer Console that scale with customer usage.
- Make architectural decisions regarding system boundaries, data models, and tradeoffs between real-time/batch processing, performance, and cost.
- Drive projects from ambiguity to production, defining solutions and delivering them.
- Lead technical execution, breaking down work, aligning engineers, and ensuring high-quality delivery.
- Improve system reliability and visibility, ensuring systems are observable and debuggable.
- Partner with product and design teams to shape developer-facing workflows and experiences.
Requirements
- Proven track record of leading and delivering complex systems end-to-end.
- Strong technical depth in backend systems, including APIs, data modeling, and distributed systems.
- Full-stack capability, comfortable working across frontend and backend.
- Strong technical judgment for making sound architectural decisions and balancing speed with optimization.
- Ability to operate independently in ambiguous environments and drive execution.
- High standards for quality, correctness, maintainability, and long-term system health.
- Experience influencing and mentoring other engineers through design reviews and leadership.
- Bias for action, moving quickly, unblocking self and others, and focusing on impact.
- Experience in fast-moving environments with shifting priorities.
- Typically 8+ years of industry experience building and operating production systems.
- Bachelor's or Master's degree in Computer Science or equivalent practical experience.
Benefits
- Work on core platform infrastructure directly impacting customer AI workload scaling.
- Own meaningful surface area of critical systems like billing, usage, and observability.
- Operate at the intersection of developer experience, distributed systems, and real-time data.
- High impact, low bureaucracy environment with quick decision-making and engineer influence.
- Opportunity to grow with a platform expanding into broader infrastructure and cluster management.
- Build a breakthrough AI platform beyond GPU constraints.
- Opportunity to publish and open source cutting-edge AI research.
- Work on one of the fastest AI supercomputers.
- Job stability with startup vitality.
- Simple, non-corporate work culture that respects individuals.