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As a Senior Staff Mojo Libraries Engineer, you'll lead the evolution of the Mojo programming language's Standard Library, mentor engineers, enhance developer experience, and engage with the open source community while tackling complex technical challenges.

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.

The Software Engineer will optimize support for new hardware architectures, write Mojo kernels, collaborate with hardware vendors, and improve portability infrastructure.

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

The role involves optimizing hardware support within a software stack for AI model deployment, collaborating with teams and hardware vendors to enhance performance and portability across platforms.

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.