Summary
Scott Rostrup is a systems-oriented software engineer with 14 years of experience building high-performance ML, robotics, and simulation software, now working at Meta after leadership and hands-on roles at Untether AI and Kindred.ai. He combines expertise in machine learning, 3D sensing, supercomputing, and parallel algorithm optimization with a strong applied-math background (MMath in Numerical Computation from University of Waterloo). Scott has led teams shipping accelerator-focused software and novel robotics perception systems, while also driving GPU and multicore HPC efforts earlier in his career at Synopsys. Equally comfortable in technical leadership and deep engineering, he brings a pragmatic focus on turning complex numerical and hardware-constrained problems into production systems. Outside engineering he pursues writing, a hint at his ability to communicate complex ideas clearly.
14 years of coding experience
15 years of employment as a software developer
Masters Applied Mathematics - Numerical Computation, Masters Applied Mathematics - Numerical Computation at University of Waterloo