Robert Kimball is a Senior Principal Engineer with 30+ years of systems and ML infrastructure experience, currently building production ML tooling at d-Matrix from his base in San Diego. He combines deep C++ backend expertise with practical Python-driven integration work, having led backend development for the open-source nGraph compiler and added TVM support to Triton and onnxruntime at OctoML. Known for solving "intractable problems" quickly, he repeatedly turns ideas into production-ready implementations—from high-performance dataloaders to GPU and NNP-T backends. His contributions to NervanaSystems/ngraph reflect a strong grasp of compiler and runtime architecture, memory and performance optimization, and operator design. Beyond shipping code, he brings a rare blend of low-level systems craft and product-focused pragmatism honed across Qualcomm, Intel, and startup environments.
10 years of coding experience
24 years of employment as a software developer
Bachelor’s Degree Engineering Physics, Bachelor’s Degree Engineering Physics at Westmont College
nGraph - open source C++ library, compiler and runtime for Deep Learning
Role in this project:
Back-end Developer
Contributions:10 releases, 1149 commits, 1731 PRs in 3 years 1 month
Contributions summary:Robert's commits primarily focused on modifying the nGraph C++ library, specifically involving the development and enhancement of backend components. Their contributions include the addition of new operators like Cosh and Sinh within the ONNX import framework, refactoring of existing operations, and performance optimizations in areas like memory management, and data structures. Additionally, the user implemented a significant refactor of core code structures, highlighting a strong understanding of the nGraph codebase and its architecture.
nGraph is an open source C++ library, compiler and runtime for Deep Learning frameworks
Contributions:128 commits in 8 months
cppc-librarydeep-learningtvmruntime
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Robert Kimball - Senior Principal Engineer at d-Matrix