Inference ML API SDET

Cerebras
Sunnyvale, Toronto
Workplace: HybridFull timeFunction: QA, Test & Release EngineeringExperience: 5+ yearsSkills: ["Leadership","Communication","Debugging","Ownership","Mentorship"]

Lead end-to-end testing for ML API features, validating AI/ML model accuracy, fairness, and performance at scale for Cerebras Inference Cloud. Own software and hardware integration quality, define pre-deployment and production validation, and establish robust debugging and best testing practices. Build scalable test frameworks and automation, drive benchmark and evaluation adoption, and mentor junior SDETs while partnering across platform, infrastructure, and product engineering teams.

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FursaFursa
Cerebras
Cerebras
2 months ago

Inference ML API SDET

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Lead end-to-end testing for ML API features, validating AI/ML model accuracy, fairness, and performance at scale for Cerebras Inference Cloud. Own software and hardware integration quality, define pre-deployment and production validation, and establish robust debugging and best testing practices. Build scalable test frameworks and automation, drive benchmark and evaluation adoption, and mentor junior SDETs while partnering across platform, infrastructure, and product engineering teams.
Location: Sunnyvale, Toronto
Workplace: Hybrid
Employment Type: Full time
Job Function: QA, Test & Release Engineering
Seniority: Mid level

Key Responsibilities

  • •Architect and own end-to-end test strategies for new features, building scalable tests, frameworks, and tooling.
  • •Lead contributions to industry-standard benchmarks and drive adoption of rigorous evaluation methodologies.
  • •Define and drive automation initiatives to improve engineering efficiency and test coverage.
  • •Make risk-based testing decisions, balancing coverage trade-offs and resource requirements.
  • •Mentor junior SDETs and lead technical communication across teams to ensure quality in an agile environment.

Key Requirements

  • •5+ years of relevant experience in software integration, development, or quality engineering.
  • •Deep expertise in automation and programming using one or more of Python, C++, or Go, with ability to build reusable test frameworks.
  • •Experience testing compute, machine learning, networking, or storage systems in large-scale enterprise environments.
  • •Strong track record debugging complex issues across distributed, scaled-out deployments.
  • •Experience leading cross-functional quality initiatives and mentoring engineers.
Experience:5+ yearsEnterpriseDistributed systemsMachine learningCloud infrastructure
Skills:LeadershipCommunicationDebuggingOwnershipMentorship
Tech Stack:PythonC++GoLLMMultimodalMicroservicesOrchestrationAutomationDistributed systemsCloud infrastructureCompilersML frameworks

Company Brief

Cerebras
Designs and builds wafer-scale AI accelerators and systems for large-scale deep learning workloads, delivering specialized hardware and software to accelerate model training and inference for enterprises and research institutions.
Industry: Hardware Devices
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Sunnyvale, United States
Founded: 2016
WebsiteLinkedIn