Full Description

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 top 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. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, 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.

About The Role

• We are looking for a talented and motivated Systems Software Engineer - Test Automation Engineer to design, develop and own automated test frameworks for the Systems Team. This is a critical role with a direct impact on product quality and development velocity.

Ideal candidates have a strong software engineering foundation, experience with embedded systems, and a passion for solving complex problems in a dynamic, fast-paced environment. Responsibilities

• Design, develop, and maintain automated test frameworks and infrastructure in close collaboration with firmware and systems engineers
• Define and drive continuous improvement of test coverage, execution time, and reliability.
• Break down complex systems into testable sub blocks.
• Create and maintain system-level verification strategies and test plans.
• Play a vital role in raising the quality of software and identifying areas of risk.
• Contribute production-quality code and influence best practices across the systems organization.

Skills & Qualifications

S. degree with 5+ years of professional software development experience.

• At least 3+ years of collaborative development in Python.
• Experience working with Git, Continuous Integration (Jenkins) and Agile development processes.
• Proven ability to write maintainable, testable, production-quality code.
• Comfortable working in Linux environments, including shell scripting and Make-based build systems.

Assets

• Experience working with remote systems, AWS instances and distributed systems.