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The role involves building end-to-end distributed LLM inference deployments, collaborating on features, and developing scalable ML infrastructure tools.

As a Mojo Libraries Engineer, you will design and implement core libraries for the Mojo programming language, optimize performance on GPUs/CPUs, and collaborate with teams to deliver impactful APIs.

Design and implement a scalable multi-cloud platform for AI inference services, focusing on low toil and performance. Collaborate with the team to enhance distributed systems and machine learning technologies.

The Cloud Inference Engineer will develop scalable LLM inference services and distributed systems for high performance AI applications, collaborating with various teams.

The role involves leading optimization of Generative AI systems, mentoring engineers, and driving technical advancements in multi-language frameworks.

You will create and maintain documentation for a cloud AI platform, collaborating with engineering teams to enhance user experience and product understanding.

The Lead AI Graph Compiler Engineer will develop a scalable machine learning compiler using MLIR and LLVM while optimizing performance across various model architectures.

The Mojo Compiler Engineer will design and evolve the Mojo compiler, implement new language features, and optimize for AI hardware performance.

The Growth Marketing Manager will build and oversee demand generation, optimize paid campaigns, run A/B testing, and develop GTM strategies for AI-focused products.

The Senior Platform Engineer will enhance systems supporting the software development lifecycle, focusing on collaboration, leadership, and technical implementation.