Senior Simulation Engineer

Key Responsibilities

• Develop and optimize high-performance numerical solvers for simulating the intricate physics of advanced metal 3D printing systems.
• Implement numerical simulation models capable of real-time or near-real-time performance on High-Performance Computing (HPC) or Graphics Processing Unit (GPU) platforms.
• Collaborate closely with software engineers to build and deploy robust physics-based and data-driven models of the laser powder bed fusion (LPBF) process.
• Integrate low-level solvers into simulation pipelines and establish effective interfaces with hardware systems, working in tandem with software engineering teams.
• Guide the application of computational geometry and meshing techniques to support large-scale, physics-driven simulations.
• Architect and design simulation modules for efficient execution on specialized compute hardware, including FPGAs and GPUs.
• Contribute to the development of model-predictive control strategies in partnership with control engineers.
• Generate and maintain comprehensive documentation for all developed algorithms, solvers, and integrated system components.

Qualifications

Must Have:

• Bachelor's degree in applied mathematics, physics, computer science, mechanical engineering, or a closely related technical field.
• A minimum of 5 years of professional experience developing custom simulation solvers with a Bachelor's degree, or 2 years of experience with a Master's degree. A PhD in a relevant field may be considered in lieu of industry experience.
• Proven experience in writing low-level numerical solvers for complex physical simulations.
• Strong proficiency in programming languages such as C, C++, or CUDA.
• Demonstrated experience developing and running simulations in a high-performance compute environment, specifically on GPUs.
• Academic or professional familiarity with solid mechanics, continuum mechanics, or other relevant physical modeling domains.

Preferred:

• Master's or PhD degree 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.
• In-depth knowledge of solid mechanics, continuum mechanics, or other physical modeling domains.
• Experience with thermo-elastic or thermo-elastoplastic modeling.
• Familiarity with computational geometry and advanced meshing techniques.
• Experience with data-driven modeling techniques and hybrid physics/data simulation methodologies.
• Familiarity with optimization techniques and control theory.
• Experience with 2D and 3D meshing libraries and tools.
• A highly creative problem solver with a strong foundation in first-principles thinking and rigorous numerical analysis.
• Excellent written and verbal communication skills.