Senior Simulation Engineer
Freeform
| Company | Freeform |
| Category | Engineering |
| Location | Los Angeles |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 8 Apr 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
SENIOR SIMULATION ENGINEER
Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.
As a Simulation Engineer at Freeform, you will be responsible for developing physics-based, data-driven models that enable the first production scale, high quality, and fully automated metal 3D printing factory capability. We are looking for someone with deep knowledge in physical simulations and multi-physics phenomena who can develop sophisticated models from scratch for undefined or previously unsolved problem statements. This person needs to be comfortable working in an interdisciplinary environment that iterates quickly and decisively.
3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!
Responsibilities:
Develop high-performance numerical solvers for simulating the physics of advanced metal 3D printing systems
Implement numerical simulation models for real-time or near-real-time performance on HPC or GPU platforms
Work with software engineers to build and deploy physics-based and data-driven models of the laser powder bed fusion process
Work with software engineers to integrate low-level solvers into simulation pipelines and interface with hardware systems
Guide the integration of computational geometry and meshing techniques to support large-scale, physics-driven simulations
Architect simulation modules for execution on specialized compute hardware including FPGAs and GPUs
Contribute to the development of model-predictive control strategies alongside control engineers
Generate and maintain documentation for all algorithms, solvers, and integrated systems
Basic Qualifications:
Bachelor’s degree in applied mathematics, physics, computer science, mechanical engineering, or a related technical field
5+ years of professional experience developing custom simulation solvers with a bachelor’s degree, 2+ years of professional experience with a master’s degree, or a PhD in one of the above fields in lieu of industry experience
Demonstrated experience writing low-level numerical solvers for physical simulations
Strong programming skills in C, C++, or CUDA
Experience developing simulations in a high-performance compute environment (i.e. running on GPUs)
Academic or professional familiarity with solid mechanics, continuum mechanics, or other physical modeling domains
Nice to Have:
MS or PhD in applied mathematics, physics, computer science, mechanical engineering, or a related field
Experience with real-time or near-real-time simulations on GPU or parallel computing platforms
Experience with direct numerical simulation (DNS) models
Familiarity with solid mechanics, continuum mechanics, or other physical modeling domains
Experience with thermo-elastic or thermo-elastoplastic modeling
Familiarity with computational geometry and meshing techniques
Experience with data-driven modeling techniques and hybrid physics/data simulation methods
Familiarity with optimization techniques and control theory
Experience with 2D and 3D meshing libraries and tools
Creative problem solver with a strong foundation in first-principles thinking and numerical analysis
Strong written and verbal communication skills
Location:
Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA’s deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.
Our fast-paced, cross-functional environment is built on close
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