AI Quality Assurance Engineer

1 day ago


London, Ontario, Canada G+H Innenausbau GmbH Full time
About the Role

As a Senior ML Quality Engineer at Cerebras Systems, you will play a critical role in ensuring the quality of our software across various deep learning workloads and workflows.

You will be part of the MIQ team responsible for feature testing, training accuracy, performance, pre-deployment/production validation, and customer workload validation.

In this position, you will have the opportunity to influence best practices in testing, debugging methodologies, and cross-team communication while advocating for world-class products.

Responsibilities
  • Drive quality of various software and hardware components 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.
  • Ability to automate workflows, set up testbeds, and build tools to effectively monitor and debug issues.
  • Implement creative ways to break Cerebras software and identify potential problems.
  • Break down complex tasks into smaller tasks. Be a problem solver. Be a thought leader.
  • Ability to work in a fast-paced environment and make necessary prioritizations and judgements that impact company productivity.
Requirements
  • 3-7 years of relevant industry experience in software quality and testing areas.
  • Experience testing AI/ML models and evaluation of model quality.
  • Strong 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 deployments.
  • Experience in putting together thorough test plans.
  • Experience working effectively across teams, including product development, product management, customer operations, and field teams.
Preferred Skills
  • Knowledge of ML workflows and frameworks.
  • Knowledge of basic storage and networking protocols.
  • Hands-on experience with training LLMs.
  • Hands-on experience working with containers, Kubernetes.
Estimated Salary: $150,000 - $180,000 per yearAbout Cerebras

Cerebras is a revolutionary company that has developed a radically new chip and system to accelerate deep learning applications.

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.



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