Senior Staff Mojo Libraries Engineer
Senior technical leader shaping Mojo Standard Library with multi-team impact and open-source collaboration.
- Full Time
- $260,000 – $290,000/year
- Min. 10 YOE
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Senior technical leader shaping Mojo Standard Library with multi-team impact and open-source collaboration.
Leads MAX organization delivering an inference framework, kernel optimizations, and tools for AI developers across heterogeneous hardware.
Own brand consistency across ad creative, events, and website pages with motion design leadership.
Lead the technical direction for a heterogenous multi-device compiler and runtime system, mentoring engineers and delivering MLIR/LLVM-based optimizations.
Craft and implement Mojo language features on MLIR-based compiler architecture; optimize across GPUs/CPUs/accelerators.
Develop Mojo kernels and optimize support for new accelerator architectures across the Modular stack.
Measure, analyze, and identify opportunities to improve performance of the MAX product under realistic usage patterns.
Intern focuses on designing, optimizing, and benchmarking low-level GPU kernels for AI workloads with production-ready implementations.
Lead kernel-level optimization initiatives for AI inference across single-GPU, multi-GPU, and heterogeneous hardware.
Own backend services powering GTM tools, API layers, and documentation infrastructure for marketing platforms.
Shaping Mojo Standard Library and kernel libraries for high-performance AI workloads across GPUs and CPUs.
Architect robust, scalable frameworks for distributed AI inference and optimization in a multi-team environment.
Lead multi-cloud inference platform development, building scalable, observable backend services for enterprise ML deployments.
Strategic BD lead to define and scale hardware ecosystem partnerships, aligning incentives and shaping an open hardware ecosystem around MAX and Mojo.
Own the product vision and strategy for Modular’s Cloud Platform, driving performance, cost, and execution insights.
Quality-focused technical lead defining strategy for ML product quality with scalable testing and cross-team collaboration.
Owns hardware-accelerator bring-up and Mojo kernel optimization across Modular stack to enable new target architectures.
Build and ship a LLM focused inference platform with disaggregated inference, multi-node deployment, and high throughput processing.
Hardware enablement engineer to build and optimize support for new accelerator platforms across Modular stack.