ML Software Tool Development Engineer

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.

• 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.