Cerebras has developed a radically new chip and system to dramatically accelerate deep learning applications. Our system runs training and inference workloads orders of magnitude faster than contemporary machines, fundamentally changing the way ML researchers work and pursue AI innovation.

We are innovating at every level of the stack – from chip, to microcode, to power delivery and cooling, to new algorithms and network architectures at the cutting edge of ML research. Our fully integrated system delivers unprecedented performance because it is built from the ground up for deep learning workloads.

Responsibilities

• Develop models for the hardware, software stack, and workload to estimate end-to-end performance
• Develop tools to analyze performance and identify bottlenecks and optimization opportunities
• Work with the hardware and software design teams to analyze and optimize workload performance
• Work with the software stack teams to implement optimizations and tune overall performance
• Optimize microcode kernels and algorithms to achieve the best possible micro architecture utilization

Requirements

• Degree in Computer Science, Electrical Engineering, or equivalent, particularly with focuses in computer architecture
• Experience with performance analysis on CPUs, GPUs, and parallel architectures
• Experience with end-to-end workload analysis from low level assembly instruction code to high level distributed algorithms
• Programming/scripting experience in C/C++ and Python
• Exposure to Machine Learning models and data flow is a plus

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 2024.

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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