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
As a frontend engineer on our AI cloud, you will work on our customer-facing inference, training, and admin consoles and API experiences. In this role, you will be responsible for designing and building responsive, user-friendly frontend interfaces that provide an optimal experience for our developers, handling high traffic and throughput efficiently.
Your familiarity with the latest web development frameworks and best practices, coupled with a keen eye for design and user experience, will drive team success.
We're looking for talented software engineers who thrive in ambiguity, view change as an opportunity, and have a voracious desire to learn and share knowledge clearly and concisely.
Skills And Qualifications
5+ years as an individual contributor developing production-grade web frontend products and experiences.
Deep experience with web technologies such as NextJS, React, and TailwindCSS.
Familiarity with backend technologies such as Prisma, PostgreSQL, and Auth.js.
Experience with building high-reliability, production-grade cloud solutions.
Familiarity with architecting and developing advanced web applications.
Strong problem-solving skills and the ability to thrive in ambiguous, rapidly changing conditions.
Excellent communication skills and a passion for continuous learning and knowledge sharing.
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:
Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Our simple, non-corporate work culture that respects individual beliefs.
Find out more about what it's like to work at Cerebras here!
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.
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Skills Required
- 5+ years developing production-grade web frontend products and experiences
- Deep experience with NextJS, React, and TailwindCSS
- Familiarity with backend technologies such as Prisma, PostgreSQL, and Auth.js
- Experience building high-reliability, production-grade cloud solutions
- Experience architecting and developing advanced web applications
- Strong problem-solving skills and ability to work in ambiguous, rapidly changing conditions
- Excellent communication skills and passion for continuous learning and knowledge sharing
What We Do
Cerebras Systems develops wafer-scale semiconductor hardware, AI supercomputers, and software/cloud services for training and inference. Its CS-2 and CS-3 systems help organizations build on-premise AI supercomputers, while pay-as-you-go cloud offerings provide developers and enterprises access to its computing platform. The company focuses on making AI training and inference faster and easier for diverse research and production workloads at scale worldwide.
