About the job
Join the Revolution at Atomic Industries
At Atomic Industries, we are transforming the way the world manufactures products. Our innovations span across industries, including automotive, aerospace, medical devices, and packaging. Traditionally, the production of manufacturing tools has been painstakingly slow and reliant on specialized expertise, often taking weeks or months. We are here to change that.
Headquartered in Detroit, we merge the rich industrial heritage of America’s manufacturing core with the agility, intelligence, and precision characteristic of Silicon Valley. Our AI-powered platform addresses complex challenges in geometry, process planning, and fabrication, reducing production timelines from months to mere days — and soon, to minutes. We don’t just develop software; we operate a fully functional factory where our technology delivers production-grade tooling weekly, allowing for rapid feedback and iterative improvements.
Supported by leading investors, we are revitalizing the speed, adaptability, and capacity of the American industrial sector. Our mission is to make manufacturing as nimble and scalable as the digital realm, thereby reconstructing the foundational infrastructure of the physical economy.
The Role of a Simulation Engineer
As a Simulation Engineer at Atomic Industries, you will create high-fidelity models that accurately reflect the physics and constraints inherent in real-world manufacturing processes. You will engage with phenomena such as thermomechanical behavior, material flow, and force distribution, enabling us to shorten tooling lead times dramatically.
Collaboration is key in this role; you will work alongside software engineers, generalists, and manufacturing experts to implement simulation pipelines that are essential to our daily production activities. We seek a candidate who marries theoretical knowledge with an intuitive understanding of real-world behavior.
Your Responsibilities
- Design and implement simulations for thermal, structural, and material processes.
- Validate simulation models against empirical test data and actual production results.
- Utilize mesh and CAD data to establish simulation-ready geometry.
- Integrate solvers and workflows into a hybrid cloud/on-premises infrastructure.
- Collaborate with geometry and software teams to enhance design and automation processes.
- Optimize simulation runtimes to balance performance and accuracy.

