Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.
Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.
About The Role
We are seeking an experienced QA Engineer to join the Cerebras AI Inference organization. This role requires an independent hands-on self-starter with excellent teamwork and problem-solving abilities. The ideal candidate is proactive, adaptable, and able to thrive in a rapidly changing environment.
Responsibilities
- Develop comprehensive test plans and hands-on code functional, integration, performance, and regression tests.
- Define the testing methodology, select proper tools, and drive automated test development.
- Design, build, and maintain scalable data curation and transformation pipelines for various tasks from coding to reasoning.
- Ensure data quality, reproducibility, and security across the pipeline lifecycle.
- Design, develop, and maintain cloud-based inference services (e.g AWS based custom Kubernetes deployments).
- Build automated CI/CD pipelines for deploying and updating models and packages.
- Set up monitoring, logging, and alerting for model health, latency, and drift using tools like Prometheus, Grafana, OpenTelemetry, or cloud-native observability stacks.
Skills And Qualifications
- 3+ years of experience building QA systems for cloud-based SaaS and/or API services, preferably of AI systems.
- Strong fundamentals in Python & Software Architecture.
- Self-sufficiency, Problem Solving & Hacker Mindset.
- Foundational Understanding of Computer Systems (OS, Distributed).
- Experience developing test automation and implementing quality monitoring systems.
- Excellent verbal and written communication skills.
- Strong organizational skills, teamwork, and can-do attitude.
- Clear and detailed documentation skills.
- Experience working with geographically dispersed teams across time zones.
- Proficiency with Jira or similar tool.
Location
- This role follows a hybrid schedule, requiring in-office presence 3 days per week. Please note, fully remote is not an option.
- Office locations: Bengaluru.
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.
Read our blog: Five Reasons to Join Cerebras in 2025.
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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