Cerebras Systems-posted 9 months ago
Onsite • Sunnyvale, CA
Professional, Scientific, and Technical Services

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.

  • Develop comprehensive test plans and hands-on code functional, integration, performance, and regression tests.
  • Develop and execute a comprehensive QA strategy aligned with the roadmap of the AI Inference organization, lead the work of the QA team.
  • Define the testing methodology, select proper tools, and drive automated test development.
  • Define and implement quality metrics to measure product and process quality, provide actionable insights and recommendations to drive continuous improvement.
  • Lead bug triage, enable reporting and visibility of key quality metrics, bugs, resolved bugs, and trends.
  • Provide regular updates on quality, key metrics, and risks to engineering and business stakeholders.
  • Collaborate with SWEs and QAEs across US, Canada, and India to establish clear and testable requirements and acceptance criteria.
  • 5+ years of experience building QA systems for cloud-based SaaS and/or API services, preferably of AI systems.
  • Experience developing test automation and implementing quality monitoring systems.
  • Experience in coding in at least one high level programming language.
  • Excellent verbal and written communication skills.
  • Strong organizational skills, teamwork, and can-do attitude.
  • Clear and detailed documentation skills.
  • Experience working with geographically dispersed teams across time zones.
  • Proficiency with Jira or similar tool.
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