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The role involves enhancing a graph compiler for ML models, optimizing performance across hardware platforms, and collaborating on core technologies.

Lead a team of backend engineers to build cloud inference services on Kubernetes, focusing on operational excellence, incident response, and engineering best practices.

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.

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.

Drive the quality strategy for Modular's engineering organization by implementing quality systems for AI infrastructure. Collaborate with teams, monitor quality processes, and enhance product excellence.

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.