Senior QA Engineer designing automated test frameworks and executing functional, integration, regression, and performance tests for Cerebras' cloud-based AI inference services and distributed ML systems using Python, Java, Selenium, and CI/CD tools. Requires Master's in CS/CE and 4+ years QA experience.
The Junior SDET will build automated tests, diagnostics, and qualification workflows for AI inference systems, while triaging cross-stack integration and release failures. The role suits an early-career engineer with programming fundamentals, hands-on software experience, and interest in distributed systems, AI infrastructure, or hardware acceleration.
Leads Release Integration Testing for an AI inference platform, establishing readiness gates, cross-stack validation, release regression, rollout triage, and quality metrics. The role requires strong software engineering, test architecture, distributed-systems validation, and technical leadership across software, infrastructure, and hardware teams.
Build and maintain test infrastructure and automation to validate the Cerebras Inference Platform across cloud Kubernetes and hardware clusters. Ensure reliability of deployment stack including CI/CD, ingress, load balancing, and observability for massive-scale AI inference.
Senior SDET leading testing strategy, automation, and quality validation for Cerebras ML Inference API features, including accuracy, fairness, and performance at scale for AI models and hardware-backed services. Requires 5+ years experience building test frameworks and debugging large-scale distributed systems.
Drives manufacturing quality at contract manufacturers for AI hardware systems, leading audits, root cause analysis, NPI quality controls, and continuous improvement using SPC, PFMEA, and data analysis tools. Requires 7-10 years experience in electro-mechanical quality engineering and BS degree.
Develops test automation software, GUIs, and reporting portals for manufacturing AI chip products from PCBA to system level. Requires 5+ years experience, bachelor's in CS/EE, and proficiency in C/C++, Python, SQL, and Linux/Windows environments.
Senior QA Engineer designing automated test frameworks and executing functional, integration, regression, and performance tests for Cerebras' cloud-based AI inference services and distributed ML systems using Python, Java, Selenium, and CI/CD tools. Requires Master's in CS/CE and 4+ years QA experience.
The Junior SDET will build automated tests, diagnostics, and qualification workflows for AI inference systems, while triaging cross-stack integration and release failures. The role suits an early-career engineer with programming fundamentals, hands-on software experience, and interest in distributed systems, AI infrastructure, or hardware acceleration.
Leads Release Integration Testing for an AI inference platform, establishing readiness gates, cross-stack validation, release regression, rollout triage, and quality metrics. The role requires strong software engineering, test architecture, distributed-systems validation, and technical leadership across software, infrastructure, and hardware teams.
Build and maintain test infrastructure and automation to validate the Cerebras Inference Platform across cloud Kubernetes and hardware clusters. Ensure reliability of deployment stack including CI/CD, ingress, load balancing, and observability for massive-scale AI inference.
Senior SDET leading testing strategy, automation, and quality validation for Cerebras ML Inference API features, including accuracy, fairness, and performance at scale for AI models and hardware-backed services. Requires 5+ years experience building test frameworks and debugging large-scale distributed systems.
Drives manufacturing quality at contract manufacturers for AI hardware systems, leading audits, root cause analysis, NPI quality controls, and continuous improvement using SPC, PFMEA, and data analysis tools. Requires 7-10 years experience in electro-mechanical quality engineering and BS degree.
Develops test automation software, GUIs, and reporting portals for manufacturing AI chip products from PCBA to system level. Requires 5+ years experience, bachelor's in CS/EE, and proficiency in C/C++, Python, SQL, and Linux/Windows environments.