Principal SW Engineer, Advanced Technology Labs (Cloud AI) at Microsoft
Israel
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Summary
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Senior
Moshe David is a Principal Software Engineer at Microsoft's Advanced Technology Labs with over a decade of experience bridging low-level firmware, hardware/software co-integration, and cloud AI systems. He combines deep expertise in C/C++ and assembly for embedded and OS-level work with higher-level Python/Java skills used to optimize distributed enterprise systems. At Microsoft he contributes to high-performance ML inference (notably ONNX Runtime execution providers like TensorRT and OpenVINO), improving engine caching, memory safety, and error handling. Previously he drove firmware and server automation projects at Intel and INFINIDAT and began his career in electronic warfare, bringing disciplined systems thinking to complex debugging and performance bottlenecks. Known as a fast learner and reliable "go-to" engineer, he pairs pragmatic problem-solving with a developer community presence (StackOverflow: Shmil The Cat).
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Role in this project:
ML Engineer
Contributions:3 reviews, 8 commits, 10 PRs in 1 year 3 months
Contributions summary:Moshe's contributions primarily focus on enhancing the TensorRT and OpenVINO execution providers within the ONNX Runtime. Their work includes optimizing the TensorRT engine caching and hash computation, fixing memory leaks in OpenVINO, and improving error handling. They also corrected documentation links and made minor code adjustments to the C++ API to improve overall performance and stability within the inference pipeline.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Contributions:14 pushes, 10 branches in 1 year 3 months
machine-learningonnxruntime
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