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The role involves owning backend services for go-to-market efforts, building APIs and infrastructure, enhancing code quality, and mentoring engineers.

The Backend Engineer will build a multi-cloud inference platform and manage distributed systems for AI model deployment while ensuring operational excellence and low toil services.

Lead the MAX organization focusing on the development of AI inference solutions and frameworks, manage teams, and collaborate with engineering leaders.

The Mojo Compiler Engineer will design and implement features for the Mojo language within an MLIR-based compiler, optimize performance for AI systems, and enhance the developer experience.

As Head of Hardware Partnerships, you will define and scale Modular's hardware ecosystem strategy by managing relationships with hardware vendors, developing partnership models, and supporting partnership economics.

As a GenAI Systems Engineer, you will architect scalable frameworks, optimize distributed systems, and develop APIs, enhancing AI model deployment efficiency.

As a GenAI Performance Engineer, you will optimize performance for Modular's MAX product, collaborating with various engineering teams and leveraging performance analysis tools to enhance capabilities across diverse hardware configurations.

Develop and extend a graph compiler for the MAX Framework, set technical direction, mentor engineers, and optimize performance across hardware platforms.

As a Mojo Libraries Engineer, you'll design and implement libraries for Mojo, focusing on performance and integration with AI systems, collaborating with multiple teams to optimize algorithms and deliver high business impact.

Drive the product vision for Modular's cloud compute platform, collaborating with teams to enhance AI service capabilities and customer engagement.