ML Developer - Software Automation & Developer Infrastructure Intern (PEY 2025)

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 RoleAs a Machine Developer - Software Automation & Developer Infrastructure Engineer, you will use your knowledge of testing and testability to influence better software design, promote proper engineering practice, bug prevention strategies, testability, scalability, and other advanced quality concepts. The position will play a huge role in the quality of Cerebras software. We are looking for engineers that have a broad set of technical skills and who are ready to tackle the biggest at-scale problems in HW-based deep learning accelerators.Responsibilities

• Write scripts to automate testing and create tools to allow easy development of software regression tests.


• Help identify weak spots and potential customer pain points and drive the software organization towards customer focused quality metrics.


• Implement creative ways to break software and identify potential problems.


• Contribute to developing requirements specifications with a focus on developing verification tests.

Requirements

• Enrolled within University of Toronto's PEY program with a degree in Computer Science, Computer Engineering, or any other related discipline.


• Experience in developing automated tests for compute/machine learning or networking systems within a large-scale enterprise environment.


• Ability to take responsibility for monitoring product development and usage at all levels with an end goal toward improving product quality.


• Strong knowledge of software system design, C++ and Python.

Preferred Skills And Qualifications

• Strong software testing experience with a proven track record in scaling highly technical teams.


• Knowledge of UNIX/Linux and Windows environments.


• Knowledge of neural network architecture and ML/AI deep learning principles.


• Prior experience in designing and developing test automation for HW systems involving ASICs or FPGAs.


• Prior experience working with live hardware systems and debug tools operating in a real time environment such as networking devices or live computing systems.

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.

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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