Primary record

Senior Quality Assurance Engineer

Cerebras Indexed employerHeadquarters/Sunnyvale Office
Source-hosted applyChecked 2h agoFull-Time
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Workplace

hybrid

Employment

Full-Time

Published

Jul 28, 2026

Closes

No date supplied

The role

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Cerebras Systems Inc. has multiple openings for Senior Quality Assurance Engineer Title: Senior Quality Assurance Engineer Job Duties: - Design and develop automated test frameworks and execute software validation using Python, Java, and Selenium to ensure quality and reliability of cloud-based inference services. - Design, implement, and execute functional, integration, regression, and performance test strategies for AI/ML systems using Python, REST APIs and automation tools within CI/CD pipelines. - Develop and maintain automated test scripts and frameworks using Selenium, Java, and Python integrated with Jenkins and cloud environments such as AWS and Kubernetes to validate scalable SaaS deployments. - Perform system, API, and data validation testing using SQL, Oracle/RDBMS, and REST API tools to ensure data integrity, transformation accuracy, and end-to-end pipeline reliability. - Monitor system performance, latency, and model behavior using tools such as JMeter and observability platforms: analyze results to ensure optimal performance of distributed AI systems. - Triage defects, perform root cause analysis, and debug complex issues across distributed cloud systems and AI inference infrastructure using logs, monitoring tools, and e

Requirements

Department: Software; Team: Software