Jacob Stevens is a research scientist at Meta Reality Labs in Boston with 11 years of hands-on experience bridging computer engineering and ML hardware. He holds a PhD from Purdue where his thesis developed hardware techniques for Memory Augmented Neural Networks and Graph Neural Networks, and his internships at NVIDIA and others produced publishable accelerator work. Jacob’s background spans ASIC/FPGA design, SoC verification, and systems-level software—bringing practical hardware implementation experience to research problems. Known for exploring numeric representation and vectorization optimizations, he combines deep academic rigor with production-oriented engineering, often translating novel accelerator concepts into demonstrable prototypes.
11 years of coding experience
3 years of employment as a software developer
4.0/4.0, 4.0/4.0 at Marist High School
Bachelor’s Degree, Computer Engineering, 4.00/4.00, Bachelor’s Degree, Computer Engineering, 4.00/4.00 at Purdue University
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