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As a MAX Platform Tooling Engineer, you'll design debugging tools, improve developer experience, and collaborate closely with compiler teams to enhance productivity in AI infrastructure.

As an AI Kernel Engineer, you will design and optimize high-performance kernels for ML applications, leveraging low-level programming and collaborating with cross-functional teams to drive performance improvements in AI infrastructure.

As a GenAI Performance Engineer, you will optimize Modular's MAX product performance by collaborating with various teams and analyzing benchmarking data.

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.