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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.

Maintain and improve developer workflows and core platform systems: CI/distributed CI, build/release packaging, regression tracking automation, and developer tooling. Support developers across languages and systems, keep CI healthy and responsive, package releases, and build tools to reduce developer pain points while collaborating with engineering and product teams.

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.

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 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 Senior AI Kernel Engineer, you will design and optimize high-performance kernels for AI inference on GPUs and custom accelerators, improving performance and collaborating with various teams to influence architecture and implementation.

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