Research Scientist - Electromagnetic Inverse Design

5 days ago

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Flexcompute

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CFD • Simulation • Computational Fluid Dynamics • Electromagnetic Simulation • Aerospace

51 - 200

Description

• Flexcompute seeks a research scientist for adjoint-based inverse design using Tidy3D. • Drive the development and adoption of inverse design platforms. • Collaborate on algorithm design, software development, and practical applications. • Support development of new features and performance improvements within Tidy3D. • Assist in design and implementation of APIs for ease of use. • Apply inverse design to industry problems and academic collaborations.

Requirements

• PhD or Master's degree in a relevant field (Photonics, Physics, Electrical Engineering, Machine Learning, etc.) with focus on inverse design, optimization, or machine learning. • Excellent programming skills, specifically in Python. • Good understanding of computational methods and numerical simulations. • Experience with practical realization of inverse design, spanning from simulation to experiment. • Industry experience in roles involving inverse design. • Experience with developing numerical simulation code. • Machine learning experience, especially familiarity with automatic differentiation tools such as JAX or PyTorch. • Experience with open source and collaborative software development process, ideally in industry setting. • Experience implementing adjoint method for calculating gradients through physical simulations. • Experience with Tidy3D as a user.

Benefits

• Fully remote, with collaboration with a team based primarily in US and European time zones. • Applicants based outside of US considered. • Competitive compensation.