Aria Hosseini
Principal Product Engineer at Cadence
California, United States
Summary
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Senior🎓
Top SchoolAria Hosseini is a Principal Product Engineer with a Ph.D. in mechanical engineering and nine years of hands-on experience bridging materials science, optics, and high-volume lithography for advanced memory products. She has led development of production-grade reticle optimization and correction tools—most notably the Ballistic Correction Model and an Equilibrium Monte Carlo Phonon Ray Tracing Model—translating complex R&D physics into manufacturable OPC and RET flows. Her background spans atomistic to mesoscale computational frameworks (OpenKapitza, ThermoElectric) and practical EDA toolchains, enabling tight integration between device, process, and design teams. Proficient in Python, ML frameworks, VASP/LAMMPS, and EDA suites, she combines algorithmic rigor with software engineering to ship robust modeling and automation for yield-critical problems. An author of a dozen+ technical publications and a former MIT postdoc, she’s known for turning deep theoretical insights—like heat-current anti-correlation effects—into tangible device-level improvements. Based in California, she brings a rare blend of academic depth, production engineering experience, and cross-functional leadership.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Mechanical Engineering, Bachelor of Science - BS Mechanical Engineering at K. N. Toosi University of TechnologyPost Doctoral Materials Science, Post Doctoral Materials Science at Massachusetts Institute of TechnologyDoctor of Philosophy - PhD Mechanical Engineering, Doctor of Philosophy - PhD Mechanical Engineering at University of California, Riverside
English, Persian
Github Skills (1)
heat7
Programming languages (1)
Github contributions (5)
ariahosseini/OpenKapitza
Jan 2022 - May 2022
Contributions:55 commits, 38 pushes in 3 months
ariahosseini/ThermoElectric
Feb 2022 - Apr 2022
Contributions:2 releases, 33 commits, 472 pushes in 1 month
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