The opportunity
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.
What you'll do
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 engineering best practices.
What they're looking for
- Document test plans, test cases, results, and defects. Track issues using: Jira or Rally and collaborate with cross-functional teams to ensure high-quality product releases.
- Java and QE Automation;
- Selenium testing with Page Object Model-based frameworks;
- Visual Studio Code;
