Senior FE Engineer - Inference Console

Cerebras

United States

Remote

USD 140,000 - 180,000

Full time

14 days+
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Job summary

Cerebras Systems is hiring a Senior Frontend Engineer to own and scale critical parts of the Cerebras Developer Console. You will build high-quality frontend systems (Next.js, TypeScript) and design backend services that power usage tracking, billing, quotas, and observability.

You'll lead architectural decisions, mentor engineers, and move quickly from idea to production in a fast-paced environment where customer experience and revenue matter.

Qualifications

  • Experience building frontend systems for large-scale applications.
  • Ability to own features end-to-end and drive technical direction.
  • Collaborate closely with product and design to deliver robust user experiences.

Responsibilities

  • Own a major area of the platform—e.g., billing, usage tracking, quotas, or metrics.
  • Build and evolve APIs, services, and UI powering the Developer Console.
  • Make architectural decisions balancing real-time vs. batch processing and cost.
  • Drive projects from 0→1 to production with clear milestones.
  • Lead technical execution and ensure high-quality delivery across the stack.
  • Improve system reliability and observability for production readiness.

Skills

Frontend engineering
TypeScript
Next.js
System design

Tools

GraphQL
PostgreSQL
Redis

Job description

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. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

About The Role

We’re hiring a Senior Frontend Engineer to own and scale critical parts of the Cerebras Developer Console — the primary interface developers and enterprises use to run and manage inference workloads. This is a deeply technical, end-to-end role. You’ll build high-quality frontend systems (Next.js, TypeScript) and design backend services (GraphQL, Postgres, Redis) that power usage tracking, billing, quotas, and observability. The systems you build will operate at high scale, require careful data modeling, and balance real-time and batch processing. You’ll be expected to make strong architectural decisions and move quickly from idea to production. You’ll join an existing, high-velocity team and take ownership of major platform areas such as billing, request logs, or metrics. This is not a “ticket execution” role — you’ll define problems, drive technical direction, and lead execution across the stack. The work directly impacts customer experience and revenue, and the expectations are correspondingly high. As a Senior Engineer, you’ll set the bar for engineering quality and execution. You’ll mentor engineers, drive design reviews, and push the team toward simple, scalable solutions. We’re looking for someone who thrives in fast-moving environments, operates with urgency, and is comfortable navigating ambiguity while shipping high-quality systems.

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.
  • Partner with product and design — shape developer-facing workflows and experiences.
What We’re Looking For
  • Track record of ownership — you’ve led and de
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