AI compiler and inference platform built on Mojo, MAX and MLIR
Modular builds a hardware-portable AI development and inference stack, with compiler infrastructure (MLIR, LLVM, Clang) underneath its own Mojo language and MAX platform. The stack spans NVIDIA, AMD and Apple Silicon alongside CUDA, SYCL and OpenCL, plus NVLink and InfiniBand, pointing to multi-accelerator, cluster-scale inference work. Hiring is accelerating, senior-weighted and engineering-led, aimed at LLM inference optimization on Modular Cloud.
Modular, a Qualcomm company, develops an AI developer platform that unifies building and deploying machine learning models across hardware targets. Its products include the Mojo programming language and the MAX platform, which work alongside frameworks such as PyTorch, TensorFlow and JAX. The company was founded in 2022, employs 51–200 people, and operates as a distributed organization based in the United States. Its audience is AI developers and teams that need to run trained models efficiently on diverse accelerators, including through Modular Cloud.
Modular's stack centers on C++, MLIR, LLVM, Clang, Python and Mojo, with MAX, CUDA, SYCL, OpenCL, PyTorch, JAX, vLLM and Kubernetes, targeting NVIDIA, AMD and Apple Silicon hardware.
Current work includes an LLM inference optimization platform on Modular Cloud, runtime and cross-stack optimizations, driver abstractions for diverse hardware, and multi-accelerator communication primitives.
Yes. Hiring is accelerating and led by engineering, with product roles too, mostly at senior level and based in the United States.
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Modular, a Qualcomm company's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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