Senior Product Designer – Developer Experience & Applications

Sorry, this job was removed at 12:07 a.m. (CST) on Tuesday, Sep 16, 2025
Easy Apply
2 Locations
In-Office or Remote
Artificial Intelligence
The Role

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 global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.

About The Role 

Imagine being a designer tasked with making the most advanced AI infrastructure feel as intuitive as your favorite developer tool. At Cerebras, we plan to build consoles and onboarding experiences that make impossibly powerful AI accessible to developers and organizations. This product designer will own the UX strategy for this end-to-end experience. 

In addition, you will also design cutting-edge application demos that showcase our AI platform's unique capabilities, with opportunities to invent new forms of interactivity.  

This role requires an AI-native mindset, obsessive attention to polish and craft, and strong prototyping/coding abilities to bring designs to life. You will lead our UX thinking and help define how developers interact with the world's fastest AI inference platform. 

Key Responsibilities

  • Design end-to-end product experiences for our Developer Console, Admin Console, and onboarding that make impossibly fast AI feel effortless to use.
  • Prototype novel applications and interactive demos that showcase AI capabilities no one has seen before.
  • Invent new interaction patterns specifically for real-time AI experiences and define the design language for AI-native interfaces.
  • Run projects end-to-end with engineering teams, from initial concept through pixel-perfect shipped product.
  • Partner with AI researchers, product teams, and customer success to understand how developers work with cutting-edge AI and translate those insights into intuitive experiences.
  • Create design systems and patterns that scale as we introduce capabilities that push the boundaries of what AI can do.

Skills And Qualifications

  • You have 5+ years of product design experience with a portfolio that demonstrates exceptional craft and the ability to lead complex projects independently.
  • You're AI-native in your thinking and understand how LLMs, inference, and developer workflows intersect with great user experience.
  • You balance craft with speed and business impact. You care deeply about polish but understand when to ship and iterate.
  • You have strong design opinions but listen well and collaborate effectively with engineers, researchers, and other stakeholders.
  • You excel at untangling complex technical concepts and have sharp intuition for making advanced AI capabilities feel accessible and intuitive.
  • You understand how to communicate design decisions through both visual storytelling and clear reasoning.

Assets

  • You have strong coding/prototyping skills (JavaScript, React, Python, or similar) with ability to build functional demos.
  • You've designed developer tools, cloud platforms, or enterprise software that technical users love.
  • You bring unique perspectives to AI interface design and have thoughts on where the field should go.
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 2025.

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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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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