Summary
Masoud Safdari is a Principal Software Engineer based in Michigan with a decade of experience building high-performance simulation and algorithmic systems for engineering and scientific applications. His background blends deep academic research—PhD-level work in engineering science and mechanics and postdoctoral development of GFEM/XFEM codes—with industry roles optimizing HPC solvers and cloud-based automation for design workflows. He has led R&D and open-source-style projects in computational geometry, meshing, and numerical optimization, and translated that expertise into production systems at Ansys, InBrace, and now Siemens EDA. Known for squeezing performance from complex physics codes, he also integrates machine learning into physics pipelines and has hands-on experience across the full stack of simulation tooling, from meshing to big-data analysis. An early career mix of hardware automation and microfabrication work gives him an uncommon systems-level perspective that helps bridge algorithm design and practical deployment.
10 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Engineering Science and Mechanics, Doctor of Philosophy (Ph.D.), Engineering Science and Mechanics at Virginia Tech
English, Persian