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Develop and enhance techniques for model performance in software engineering tasks, utilizing reinforcement learning and large dataset generation.

Design and build resilient solutions for AI workloads on supercomputing infrastructure, troubleshoot complex issues, and enhance usability through documentation.

Contribute to building safe AGI by automating research and code generation, improving models, and solving alignment issues. Join a hands-on, teamwork-focused culture.

As a Kernel Engineer, you will develop and maintain high-performance kernels for AI models, optimizing GPU, TPU, and CPU architectures.

As a Research Engineer, you will train large AI models, optimize inference throughput, and manage data pipelines while evaluating and prototyping new research ideas.

The HPC Networking Lead will optimize communication in distributed training by implementing algorithms, designing monitoring systems, and enhancing overall network performance.

As a Distributed Systems Engineer, you will develop data and coordination systems for long-context inference and training, focusing on high-performance storage, automation of fault detection, and troubleshooting across various environments.