Lead Full Stack Machine Learning Engineer Bengaluru (India)

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. About The Role This teams' principal responsibility is to rapidly bring up state-of-the-art open-source models, frameworks and data engineering. Success in this role requires a system-minded generalist who thrives in quick-paced bringup settings and is comfortable working across the entire software stack. Your work will play a critical role in achieving unprecedented levels of performance, efficiency, and scalability for AI applications. Responsibilities Contribute to the end-to-end bring up of frameworks for RL, inference serving, ML models on Cerebras CSX systems. Work across the stack: model architecture translation, graph lowering, compiler optimizations, runtime integration, and performance tuning. Debug performance and correctness issues spanning model code, compiler IRs, runtime behavior, and hardware utilization. Propose and prototype improvements across tools, APIs, or automation flows to accelerate future bring ups. Skills & Qualifications Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field with 10+ years’ experience. Comfort navigating the full AI toolchain: Python modelling code, compiler IRs, performance profiling, etc. Solid debugging skills across performance, numerical accuracy, and runtime integration. Experienc