ML Software Tool Development Engineer

Cerebras is developing 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.

Cerebras is building a team of exceptional people to work together on big problems. Join us!

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.

Requirements

- Bachelor’s degree in computer science, engineering, or related field and enrolment in University of Toronto’s PEY program.
- 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.
- A real passion for AI!