Cerebras Systems

Cerebras Systems

AI Inference Core - Senior SDET, Release Integration Testing

Sunnyvale, CA · Senior

Sponsorship not specifiedDetected 2 days ago
PythonGoDistributed SystemsCode ReviewCloud PlatformsKubernetesCI/CDMachine LearningLLMsComplianceLoad TestingTest AutomationManual TestingCommunicationCollaborationProblem SolvingMentoring

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Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • We are looking for an experienced, hands-on Senior Software Development Engineer in Test (SDET) to join the Release Integration Testing (RIT) function within Release & Feature Qualification for AI Inference Core.
  • The Production Engine for Inference Core - turning integrated features into reliable production releases.
  • You will work across AI frameworks, runtime, compiler, kernels, distributed systems, infrastructure, and hardware to identify integration risks and ensure production readiness.

Responsibilities

  • Design, develop, and maintain automated test frameworks, tools, and infrastructure to validate AI inference software across multiple components and system layers.
  • Develop and execute comprehensive end-to-end, integration, regression, and system-level tests across AI frameworks, runtime, compiler, kernels, infrastructure, and hardware.
  • Investigate and debug complex cross-stack failures, perform root cause analysis, collaborate with engineering teams on fixes, and implement automated tests to prevent regressions.
  • Build and enhance internal tooling for test automation, diagnostics, monitoring, dashboards, CI/CD workflows, and release qualification pipelines.
  • Strong software engineering fundamentals with professional experience developing software, automated testing frameworks, or test infrastructure.
  • Experience designing, developing, and maintaining automated tests and frameworks for complex software systems.

Requirements

  • Proficiency in Python, Go, or a similar programming language, with demonstrated experience writing maintainable, production-quality code.
  • Experience with AI/ML infrastructure, LLM inference, model deployment, multimodal workloads, or large-scale compute environments.
  • Experience with containers, Kubernetes, cloud infrastructure, cluster orchestration, or large-scale distributed computing environments.

Skills

  • Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.

Benefits

  • Independently own integration testing and qualification activities for complex inference-core features, identifying dependencies, interaction risks, and potential coverage gaps.
  • Collaborate with feature engineering, Integration, Core Infrastructure, and release teams to improve test coverage, accelerate debugging, and support coordinated feature rollouts.

Company info

  • 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.
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