Senior Quality Engineer F/H

1 month ago

Old Toronto, Canada Cerebras Systems Inc. Full time
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.

About The Role

As Senior ML Quality Engineer, you ensure quality of Cerebras SW across all supported ML workloads and workflows. You will be part of MIQ (ML Integration and Quality) team that will focus on SW components feature testing, ML training accuracy and performance, pre deployment/production validation, validating customer workloads and workflows.

As part of this role, you will influence the best testing practice, good debugging methodology, effective cross team communication and advocate for world-class products.

Responsibilities
  • Drive quality of various software and hardware components of Cerebras solution to ensure accuracy, performance and usability of model trainings.
  • Bring good testing methodology, effective communication and strong debugging skills to the team.
  • Demand the highest quality from all components within the Cerebras environment.
  • Implement creative ways to break Cerebras software and identify potential problems.
Minimum Qualifications
  • 3-7 years of relevant industry experience in Software quality and testing areas.
  • Experience testing AI/ML models and evaluation of the model quality.
  • Stong automation and programming skills using one or more programming languages like Python, C++ or go.
  • Experience in testing compute/machine learning/networking/storage systems within a large-scale enterprise environment.
  • Experience in debugging issues across scale out deployment.
  • Experience in putting together thorough test-plans.
  • Experience working effectively across teams, including product development, product management, customer operations, and field teams.
  • Knowledge of basic storage and networking protocols.
  • Hands-on experience with training LLMs.
Why Join Cerebras

People who are serious about software make their own hardware. 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
Apply today and become part of the forefront of groundbreaking advancements in AI.

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