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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.
Job Responsibility:
Collaborate with world-class engineers on real-world challenges across the software stack
Design, implement, and test software solutions that directly impact system performance and usability
Learn and contribute across multiple layers of a fully integrated AI-accelerated system
Gain hands-on experience with advanced hardware, compilers, distributed systems, and ML frameworks
Requirements:
Recently graduated or enrolled in a university program with a degree in Computer Science, Computer Engineering, or other related disciplines (graduating 2026)
Strong problem-solving skills and excellent communication skills
Proficient in one or more programming language – exposure and experience with C++ is an asset
What we offer:
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