Product Manager Intern – Configuration Tool

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Toronto, ON, CAN
In-Office
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
As a Product Configuration Tool Engineer, you will take on a hybrid role combining technical development and product management. You will be responsible for designing and implementing a sophisticated web-based tool that will help our internal teams and customers configure high-performance computing (HPC) appliances based on a range of parameters. This tool will not only provide users with a front-end interface to select and customize configurations but also have a powerful backend capable of managing highly complex product constraints and generating accurate Bill of Materials (BOM), rack elevations, and other details of the customized product.
This position offers a unique opportunity to work at the intersection of software, hardware, and product management. You will gain exposure to various cutting-edge components of our technology, from HPC servers and network systems to the software that powers our product. This role will provide a comprehensive view of our technology stack and a chance to interact with multiple technical teams, making it an exciting and valuable learning experience for anyone passionate about both software and hardware systems, and gaining insights into how a company that integrates both operates -- a rare and rewarding opportunity.

Responsibilities
  • Develop a web-based tool for configuring our HPC appliances, ensuring a smooth and intuitive user experience.
  • Build a backend that models complex constraints to ensure compatible configurations across hardware, networking, and software components.
  • Work closely with various teams to gather technical requirements and distill them into actionable development tasks.
  • Generate detailed outputs including BOM, rack layouts, cable port mappings, and more, ensuring physical accuracy of system configurations.
  • Understand and incorporate customer requirements to allow flexibility while ensuring proper system constraints are met.
Skills And Qualifications
  • Enrolled in a Strategy & Consulting, Mechanical & Industrial Engineering or other Computer Science/Engineering related programs
  • Strong web development skills (HTML, CSS, JavaScript) and backend programming (e.g., Python, Node.js).
  • Excellent analytical and problem-solving abilities to manage complex configuration logic.
  • Strong communication skills for cross-team collaboration and requirement gathering.

Preferred Skills And Qualifications

  • Understanding of high-performance computing (HPC) systems or data centre configurations.
  • Experience with product management tasks or working across technical and non-technical teams.
  • Knowledge of network switches, server hardware, and data centre infrastructure.
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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