ML Systems Integration 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 https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Responsibilities - Participate in bring-up of next-generation AI hardware systems and supporting software infrastructure. - Debug complex system-level issues spanning hardware and software interactions. - Investigate failures occurring during system bring-up and identify root causes using logs, telemetry, and diagnostic tools. - Build automation frameworks and internal tooling that improve system validation and debugging workflows. - Develop software used to test, validate, and stress distributed hardware systems during development and production cycles. - Collaborate closely with hardware engineers to isolate and resolve system integration issues. - Improve system observability by building tools that surface failures quickly and accelerate debugging. - Reproduce, triage, and diagnose difficult issues that arise during early hardware deployment. - Support validation and qualification of new hardware generations as systems move toward production readiness. - Continuously improve internal engineering workflows related to debugging, testing, and automation. Skills & Qualifications - BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related technical field. - Strong programming skills in Python and/or C++. - E

Department: Software; Team: Software