Senior Quality Assurance Engineer

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 with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

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 engineering best practices.

• 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.

Minimum Requirements:

Master’s degree or foreign equivalent degree in Computer Engineering, Computer Science, or a related field and 4 years of experience as Quality Engineer, Software QA Engineer, Sr. Software QA Engineer, Senior Quality Assurance Engineer or a related occupation required.

Required Skills:

• Java and QE Automation;

• Selenium testing with Page Object Model-based frameworks;

• Visual Studio Code;

• Rally;

• REST API Testing;

• AWS, Jenkins, and CI/CD pipeline;

• SQL;

• JIRA; and

• JMeter

Additional Information:

Employer’s name: Cerebras Systems Inc.

Job site : 1237 E Arques Avenue, Sunnyvale, CA 94085

Telecommuting permitted

Salary Range: $220,000.00 per year to $240,000.00 per year

If you are interested in applying for this position, please apply online on this web page or mail resume to HR at Cerebras Systems Inc., 1237 E Arques Avenue, Sunnyvale, CA 94085. Please reference Job # 149 on resume or cover letter.

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

• 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.

Find out more about what it's like to work at Cerebras here!

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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