Jacob Goodale
Software Engineer (Compiler) at OLIX
London, England, United Kingdom
Summary
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RockstarJacob Goodale is a compiler-focused software engineer with 8 years of experience, specializing in GPU architectures and performance-critical ML tooling. He has deep expertise across MLIR, XLA, and the CUDA stack—from kernel optimization to assembly—and builds practical, elegant solutions for complex compiler problems. Jacob has contributed to cross-framework ML interoperability (notably adding JAX NumPy/Lax ops to the Ivy project) and is actively developing a cross-platform GPU programming language (Saga) on GitHub. Based in London, he gravitates toward projects that blend low-level GPU programming with higher-level model compilation, making him well suited for roles that require both systems-level rigor and ML awareness. His background shows a pattern of shipping focused compiler and ML-engineering work across startups and research-oriented teams.
8 years of coding experience
1 year of employment as a software developer
Github Skills (11)
ivy10
machine-learning10
jax10
python10
numpy10
converter9
deeplearning-ai9
deep-learning9
translation8
tensorflow5
pytorch5
Programming languages (2)
Github contributions (5)
ivy-llc/ivy
Oct 2022 - Nov 2023
Convert Machine Learning Code Between Frameworks
Role in this project:
ML Engineer
ML EngineerContributions:1 review, 39 PRs, 21 pushes in 1 year 1 month
Contributions summary:Jacob primarily contributed to the implementation and testing of machine learning functionalities within the Ivy framework. They focused on adding support for JAX's NumPy and Lax operations, including convolve, slice, and slice_in_dim, demonstrating a focus on bridging different machine learning frameworks. The user also implemented the associative_scan function, expanding Ivy's experimental manipulation capabilities, showing a commitment to expanding the framework's functionality. Their work directly impacts the framework's ability to convert machine learning code.
pythontensorflowframework-learningtemplatedata-science
JPGoodale/xla
May 2023 - Apr 2024
A machine learning compiler for GPUs, CPUs, and ML accelerators
Contributions:17 pushes in 10 months
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