Jobs at Modular

Own Modular’s developer-facing community marketing across events, social, and community channels. Manage conference sponsorships, contracts, vendors, booth logistics, and staffing. Plan and publish content on X, LinkedIn, and YouTube, host monthly virtual meetings, recruit speakers, and promote recordings. The role requires strong technical writing, comfort with developer audiences, event execution experience, and travel to conferences, including some weekends.

Develop and mature Modular’s LLDB-based Mojo debugger and broader developer tooling. Responsibilities include interactive debugging, IDE integration, debug information formats, expression evaluation, GPU and agentic debugging, profiling, roadmap definition, and collaboration with developer relations and open-source contributors. The role requires improving developer productivity through programming-language SDK and development-tool contributions, with LLDB and LLVM experience strongly preferred.

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.

Bring up, validate, port, and optimize support for new accelerator architectures across kernels, compilers, runtimes, graph execution, and model serving. Investigate cross-layer correctness and performance issues, develop hardware and ISA expertise, map AI operators to novel platforms, build portability infrastructure, benchmark workloads, and collaborate with hardware vendors to deliver production-quality integrations.

Design and implement Mojo compiler features, optimization passes, and code generation for CPUs, GPUs, and AI accelerators using MLIR and LLVM. Collaborate with kernel authors, hardware engineers, researchers, and open-source contributors to improve compiler performance, language design, developer experience, and the broader Mojo technology stack.

Leads and grows a compiler, kernel, and runtime engineering team responsible for bringing up accelerator architectures across the Modular software stack. Owns technical roadmaps, architecture reviews, code contributions, hardware-platform enablement, vendor SOWs, cross-team dependencies, hiring, and delivery against external milestones. The role requires hands-on expertise in compilers, heterogeneous programming, C++, accelerator programming, and complex software systems, with frequent collaboration with hardware partners and internal engineering teams.

Develop and optimize Mojo kernels and implement support for new accelerator architectures across Modular’s AI software stack. Build portability infrastructure, integration tests, and debugging workflows; collaborate with hardware vendors to triage platform issues. Engineers will study ISAs, memory hierarchies, and vendor toolchains while contributing to compiler, model-serving, and inference optimization efforts.

Design and implement Mojo language features, compiler optimizations, and multi-target compilation for CPUs, GPUs, and AI accelerators using MLIR and LLVM. Collaborate with kernel authors, hardware engineers, researchers, and the open-source community to improve language design, code generation, performance, developer experience, and the broader Mojo SDK.

Own and evolve MAX Framework APIs and developer experience for AI inference and training. Design scalable APIs, programming models, distributed execution primitives, and developer-facing abstractions across Python and Mojo-adjacent surfaces. Lead RFCs and technical specifications, build reference implementations, establish API quality standards, and collaborate with compiler, runtime, kernels, serving, documentation, and DevRel teams.

Leads developer community programs for Mojo and MAX, including Champions, meetups, virtual meetings, hackathons, conferences, social media, documentation, and moderation. Owns program strategy, event logistics, vendors, speakers, budgets, community communications, and scalable systems that enable community-led growth. Requires technical community management, advocacy program development, event operations, technical communication, and strong project execution.

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.