Arden Ma is a software engineer with 8 years of experience focused on squeezing performance out of ML systems and GPUs. Currently a Member of Technical Staff at Reve, Arden works on model acceleration and scaling curated datasets to production. Past roles include deep learning performance engineering at NVIDIA (JIT compilation and runtime fusion), ML/DL performance for oneAPI at Intel, and production-focused internships at Meta and Intel Labs researching transformers and RAG. Arden also completed rotations optimizing query lifecycles and security tooling through a Codepoint fellowship and served as a course assistant for operating systems, parallel computing, and visual systems at Stanford. Based in the San Francisco Bay Area, Arden combines academic rigor from Stanford and UC San Diego with hands-on systems and tooling experience that bridges research and production. Colleagues know Arden for a get-it-done mindset—“doing whatever it takes to melt GPUs”—paired with deep low-level performance chops.
8 years of coding experience
1 year of employment as a software developer
University of California, San Diego
Master of Science Electrical Engineering, Master of Science Electrical Engineering at Stanford University
Contributions:5 PRs, 13 pushes, 3 branches in 1 year 6 months
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