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AI Inference Core - Senior SDET, Release Integration Testing

Cerebras· Software Engineering
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Hybrid (Sunnyvale, CA), Hybrid (Toronto, CAN)Full-timePosted 2mo ago

About the role

Senior SDET in Release Integration Testing for AI Inference Core. Develops test automation, validates AI inference systems, and drives release quality and reliability across frameworks, runtime, compiler, kernels, distributed systems, infrastructure, and hardware.

Responsibilities

  • Design, develop, and maintain automated test frameworks, tools, and infrastructure to validate AI inference software across multiple components and system layers.
  • Independently own integration testing and qualification activities for complex inference-core features, identifying dependencies, interaction risks, and potential coverage gaps.
  • Develop and execute comprehensive end-to-end, integration, regression, and system-level tests across AI frameworks, runtime, compiler, kernels, infrastructure, and hardware.
  • Analyze unit, simulation, benchmark, feature-test, and integration results to assess readiness, identify gaps, and provide evidence-based recommendations for release qualification.
  • Investigate and debug complex cross-stack failures, perform root cause analysis, collaborate with engineering teams on fixes, and implement automated tests to prevent regressions.
  • Improve master and release-branch stability by identifying regressions, triaging failures, validating fixes, and contributing to release-quality metrics and reporting.
  • Build and enhance internal tooling for test automation, diagnostics, monitoring, dashboards, CI/CD workflows, and release qualification pipelines.
  • Collaborate with feature engineering, Integration, Core Infrastructure, and release teams to improve test coverage, accelerate debugging, and support coordinated feature rollouts.
  • Contribute to test architecture, risk-based testing strategies, and continuous improvements in automation efficiency, system observability, and release reliability.
  • Provide technical guidance and mentorship to junior engineers through code reviews, debugging sessions, and sharing testing best practices.

Qualifications

  • Strong software engineering fundamentals with professional experience developing software, automated testing frameworks, or test infrastructure.
  • Proficiency in Python, Go, or a similar programming language, with demonstrated experience writing maintainable, production-quality code.
  • Experience designing, developing, and maintaining automated tests and frameworks for complex software systems.
  • Strong debugging and problem-solving skills, including the ability to investigate failures across multiple components, analyze logs and system behavior, and identify root causes.
  • Solid understanding of software testing methodologies, including integration testing, system testing, regression testing, and end-to-end validation.
  • Experience working with CI/CD pipelines, test automation infrastructure, and software development workflows.
  • Working knowledge of operating systems, networking, distributed systems, or systems-level software concepts.
  • Ability to independently own complex technical problems, prioritize testing efforts, and drive issues through resolution.
  • Strong communication and collaboration skills, with experience working across multiple engineering teams to deliver reliable software.

Skills

Required:Software engineering fundamentalsPython or GoAutomated testing frameworksDebugging & root-cause analysisCI/CD and test automation infrastructureCross-stack collaboration
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Cerebras

Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.

Cerebras is the go-to platform for fast and effortless AI training.

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