Simulation Engineer

Freeformfuturecorp

Hawthorne, California, United States
Base: $115,000-$150,000; bonus/equity: significant...
**
Master's degree in applied mathematics or related field
Experience writing low-level numerical solvers
Strong programming skills in c, c++, or cuda
** Freeformfuturecorp is seeking a Simulation Engineer to develop advanced numerical solvers and physics-based models for their automated metal 3D printing systems. The role requires strong programming skills and a background in applied mathematics, physics, or engineering, with a focus on collaborative problem-solving in a fast-paced environment. **

Job Summary

  • Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation.
  • The role involves developing high-performance numerical solvers for simulating the physics of advanced metal 3D printing systems with real-time performance capabilities.
  • Candidates will work in a fast-paced, cross-functional environment requiring full-time onsite presence five days a week in Hawthorne, Los Angeles.

Matching Summary

Match Score: 75

** Freeformfuturecorp is seeking a Simulation Engineer to develop advanced numerical solvers and physics-based models for their automated metal 3D printing systems. The role requires strong programming skills and a background in applied mathematics, physics, or engineering, with a focus on collaborative problem-solving in a fast-paced environment. **

Salary

Base: $115,000-$150,000; Bonus/Equity: Significant stock option packages; Benefits: 100% employer-paid Medical, Dental, Vision, Life insurance, 401(k), relocation assistance, catered meals

Skills & Requirements

Must-have

  • Master's degree in applied mathematics or related field
  • Experience writing low-level numerical solvers
  • Strong programming skills in C, C++, or CUDA
  • Experience developing simulations on GPU platforms
  • Familiarity with solid mechanics or continuum mechanics

Nice-to-have

  • Real-time simulation experience on parallel computing platforms
  • Direct numerical simulation (DNS) modeling experience
  • Thermo-elastic or thermo-elastoplastic modeling knowledge
  • Computational geometry and meshing techniques familiarity
  • Data-driven modeling and hybrid physics/data methods
  • Optimization techniques and control theory familiarity
  • Creative problem solver with first-principles thinking

Key Requirements

  • Master's degree in technical field or PhD
  • Demonstrated experience with low-level numerical solvers
  • Proficiency in C, C++, or CUDA programming
  • Experience with high-performance compute environments
  • Full-time onsite presence required

Work Rights

Not specified

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