Joseph Mcmahan is a Senior Software Engineer with a PhD in Computer Science and four years of industry experience focused on machine learning compilers and model deployment. After a postdoc at the University of Washington he helped advance ML performance and portability as a Staff Engineer at OctoML and now contributes to NVIDIA’s Deep Learning Compilers team. He combines deep academic rigor with hands-on systems engineering—comfortable bridging compiler internals, hardware-aware optimizations, and production tooling. Known for teaching and mentoring during his doctoral studies, he brings clear communication and pedagogy to complex engineering problems. His background in physics and long arc from student technician to senior engineer gives him a pragmatic, multidisciplinary approach to squeezing performance from modern ML stacks.
4 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, Santa Barbara
Bachelor of Arts, Physics, Bachelor of Arts, Physics at Princeton University
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