Runtime Engineer

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 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. 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

You will develop high-performance code running the distributed system consisting of the CS-2 and multiple heterogenous servers. Feeding model and training data to the CS-2 in the Weight Streaming regime, as well as CPU-side processing of this data, is a huge challenge that requires optimized data structures and algorithms that take full advantage of the available hardware resources, including CPU, memory, storage, and network bandwidth. The software must be built with a high degree of concurrency across threads, processes, cores, and systems. It is central to the Weight Streaming architecture which scales to brain-sized neural networks with over 100T parameters.

Skills And Qualifications

• Experienced engineer with 3+ years of experience.
• Strong low-level programming: C/C++, multi-threading, performance optimization, exposure to Assembly-level programming.
• Assets: Knowledge of basic compiler internals, experience with distributed systems and protocol design, Python knowledge (especially in ML contexts).
• Track record of working on large, complex system software.
• Prior projects where custom HW is given, write SW to unlock potential of HW.

Why Join

People who are serious about software make their own hardware. At 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:

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 in 2025.

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

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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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