ML Software Tool Development Engineer

Cerebras Systems; Toronto; On-site; CAD 80,000 - 150,000; Full time

Job summary

Join a forward-thinking company that is revolutionizing the AI industry with the world's largest AI chip. This role offers the opportunity to design and expand build tools for cutting-edge hardware, debug complex ML applications, and collaborate with cross-functional teams. You'll be part of a dynamic environment that values innovation and creativity, working on groundbreaking technology that is setting new standards in AI. Enjoy the stability of a growing startup while contributing to a mission that is reshaping the future of AI applications across various fields. If you are passionate about software and hardware integration, this is the perfect opportunity for you.

Benefits

Job stability with startup vitality

Open source AI research opportunities

Work on one of the fastest AI supercomputers

Non-corporate work culture

Continuous learning and growth support

Qualifications

• Strong debugging skills and experience in CAD tool design are essential.
• Exceptional coding skills in C++ and Python are required.

Responsibilities

• Design and expand build tool functionality for new hardware and software.
• Debug and resolve issues for ML applications specific to hardware/software.

Skills

Hardware debug skill

CAD tool design

UI/UX design

Good communication

C++ programming

Python programming

Machine Learning knowledge

Job description

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

• Design and expand build tool functionality to support new WSE hardware and SW.
• Reproduce, debug and resolve issues for ML applications such as stalls/nan specific to HW/SW context.
• Work with cross functional teams to further increase the solution lead Cerebras with its competitions.

Skills And Qualifications

• Hardware debug skill.
• CAD tool design experiences: graph and netlist traversal and analysis.
• UI/UX with medium size data visualization.
• Good communication skill - be able to do present for internal and/or external customer on tool capabilities.
• Exceptional coding skills with C++ and Python.
• Knowing ML is a plus but not a requirement.

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:

• 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.

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.