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Lead technical programs for Modular’s platform engineering organization, coordinating build, test, release, and continuous deployment infrastructure across compiler, runtime, kernel, cloud, and product teams. Establish planning and reporting cadences, manage dependencies and risks, define developer-experience metrics, coordinate migrations and rollouts, improve infrastructure reliability, and partner with Security on CI/CD integrity, artifact isolation, signing, provenance, and access control.

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

Champion the Mojo programming language by creating technical tutorials, blogs, videos, benchmarks, and examples; supporting developers across online communities; presenting at conferences; gathering community feedback for engineering and roadmap decisions; and collaborating with language, compiler, product, and marketing teams to grow adoption.

Developers Relations Engineer focused on MAX inference and serving. Responsibilities include benchmarking MAX against competing platforms, deploying and profiling CPU/GPU inference workloads, creating technical documentation and tutorials, supporting customer deployments, debugging community issues, presenting at technical events, and informing the product roadmap. The role requires hands-on production ML inference experience, familiarity with serving infrastructure and benchmarking methodology, strong Python and systems programming skills, and the ability to explain complex technical concepts clearly.

Build and evolve Mojo developer tooling including an LLDB-based debugger, IDE integrations, diagnostics, profiling, and GPU debugging. Partner with compiler engineers, shape roadmap, collaborate with DevRel and open-source community, and deliver production-quality debugging and developer workflows.

Lead and grow a compiler, kernel, and runtime engineering team responsible for accelerator bring-up across the Modular stack. Drive technical direction, architecture, coding, roadmap delivery, vendor partnerships, SOWs, milestones, cross-team dependencies, hiring, and production-quality model deployment across diverse 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.

Lead technical vision and architecture for the Mojo compiler backend: IR lowering, optimization passes, and code generation across CPUs, GPUs, and AI accelerators. Drive MLIR/LLVM initiatives, expand debugging and profiling tooling (LLDB/GDB, LSP, profilers), mentor engineers, collaborate with cross-functional teams, and engage with the open-source community to shape developer tooling and compiler strategy.