PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.
We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
The role: As a Simulation Engineer Intern, you will join us over summer 2025, and play a crucial role in benchmarking performance and accuracy for a suite of FEA solvers, for example, you may be responsible for comparing open source FEA solver, Calculix to NX NASTRAN and ABAQUS. This exciting opportunity will allow you to gain hands on experience with industry-leading engineering software while contributing to important comparative analyses that can influence our software selection processes. By incorporating open-source FEA packages such as Calculix into our workflows, we enhance our capabilities, reduce costs, and promote innovation, ultimately leading to more comprehensive and flexible engineering solutions. Join us in this dynamic role, where your insights and contributions will help shape the future of our engineering solutions and push the boundaries of innovation in the field!
This is a paid internship opportunity from June 2025 - August 2025, based in our NYC office. Compensation will be discussed with selected candidates.
We believe diversity fuels innovation, and we're building a culture where everyone belongs. We're proud to be an equal opportunity employer, welcoming talent of all backgrounds, identities, and experiences. Changing the face of tech takes action, which is why we actively encourage individuals from historically underrepresented groups to apply.
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