Cluster UI Full Stack, Engineering Lead

Reposted 3 Hours Ago
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2 Locations
In-Office
Senior level
Artificial Intelligence
The Role
The Engineering Lead will build a UI-based large-scale management portal for Cerebras clusters, ensuring seamless integration with backend systems and technical leadership. Responsibilities include mentoring a team, collaborating with product management, and delivering a user-friendly tool.
Summary Generated by Built In

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.  

Cerebras' current customers include top 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. 

Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, 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.

About the Role

In this role, you will be building a world class UI-based large-scale cluster management portal. This portal will act as one stop for all operations and maintenance of cerebras clusters – such as cluster bringup deployment (day0/1/2), job management, health management to name a few. Cerebras AI clusters may have 1000’s of

Wafer-scale accelerator systems, several 1000’s of high-end servers, and several 1000’s of networking ports including switches.

Responsibilities
  • Be the primary engineering face and owner of UI and integrating to the backend through standard best practices.
  • Heavily partner with product management and end users of this tool to build a world class tool.
  • Provide strong technical leadership for this tool development.
  • Actively work with variety of engineering teams that needs interaction in backend.
  • Build UI experience that is cohesive and seamless across all operations and maintenance activities.
  • Ability to build and mentor a small team of engineers for this tool.
Skills & Qualifications
  • 6+ years of demonstrated technical excellence in UI development and backend integration.
  • 5+ years of professional software engineering experience with modern front-end frameworks such as React, Angular, or Vue.
  • 5+ years of technical engineering experience with coding in languages including, but not limited to, C++, TypeScript, JavaScript, or Python.
  • 2+ years of back-end development experience using technologies like Node.js, Python or Go with a proven track record of designing scalable APIs and microservices.
  • Expertise in HTML, CSS, JavaScript/TypeScript, and responsive design principles to deliver polished, accessible, and high-performance user interfaces.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Experience in CI/CD pipelines for deploying and maintaining production-grade applications.
  • Proven track record of delivering product, launching and deploying solutions in production.
  • Excellent communication, articulation, collaboration and stakeholder management.
  • Tough decision-making skills with data and trade-off analysis.
  • Outstanding sense for product and user journeys, out-of-box thinker.
  • Outstanding road map and schedule execution skills under tight timeline and budgets.
Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

  1. Build a breakthrough AI platform beyond the constraints of the GPU.
  2. Publish and open source their cutting-edge AI research.
  3. Work on one of the fastest AI supercomputers in the world.
  4. Enjoy job stability with startup vitality.
  5. Our simple, non-corporate work culture that respects individual beliefs.

Read our blog: Five Reasons to Join Cerebras in 2026.

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

Top Skills

Angular
AWS
Azure
C++
GCP
JavaScript
Node.js
Python
React
Typescript
Vue
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The Company
HQ: Sunnyvale, CA
402 Employees
Year Founded: 2016

What We Do

Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, functional business experts and engineers of all types. We have come together to build a new class of computer to accelerate artificial intelligence work by three orders of magnitude beyond the current state of the art. The CS-2 is the fastest AI computer in existence. It contains a collection of industry firsts, including the Cerebras Wafer Scale Engine (WSE-2). The WSE-2 is the largest chip ever built. It contains 2.6 trillion transistors and covers more than 46,225 square millimeters of silicon. The largest graphics processor on the market has 54 billion transistors and covers 815 square millimeters. In artificial intelligence work, large chips process information more quickly producing answers in less time. As a result, neural networks that in the past took months to train, can now train in minutes on the Cerebras CS-2 powered by the WSE-2. Join us: https://cerebras.net/careers/

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