Thomas Eding is a senior technical staff engineer with 11 years of experience specializing in DSLs, ASTs, compilers, and data translation across engineering models, programming languages, and hardware architectures. He has driven compiler and runtime work at Groq and Apple and now applies that deep systems and computational-geometry expertise to large-scale AI hardware at Cerebras. Comfortable at the intersection of AI, graphics, and runtimes, he turns formal models into practical toolchains that optimize for hardware and developer ergonomics. A Berkeley-trained mathematician, he brings a precise, model-driven approach to complex engineering problems and a track record of shipping production compilers and translation layers for cutting-edge accelerators.
11 years of coding experience
15 years of employment as a software developer
Bachelor's degree Mathematics, Bachelor's degree Mathematics at University of California, Berkeley
Contributions:206 commits, 229 pushes, 1 branch in 6 months
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