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Sdet (ml automation and quality)

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Cerebras Systems

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Location:
India , Bengaluru

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

As an 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.

Job Responsibility:

  • 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
  • Ability to automate workflows, setup 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 the necessary prioritizations and judgements which affects productivity at a company level

Requirements:

  • 3-7 years of relevant industry experience in Software quality and testing areas
  • Experience testing AI/ML models and evaluation of the 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 deployment
  • Experience in putting together thorough test-plans
  • Experience working effectively across teams, including product development, product management, customer operations, and field teams

Nice to have:

  • 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
What we offer:
  • 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

Additional Information:

Job Posted:
February 17, 2026

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