Relativity Space-posted 3 months ago
Long Beach, CA
1,001-5,000 employees
Transportation Equipment Manufacturing

The Additive Technology team operates at the frontier of research and development, where creativity meets capability. This is an R&D-driven environment where problems are open-ended and solutions are yours to define. You'll work alongside welders, robotics engineers, data scientists, and systems engineers at the intersection of hardware and software, creating an end-to-end additive manufacturing platform that serves a wide variety of applications. From exploring new materials to unlocking faster print speeds, to designing complex, organic geometries that can't be built any other way, it's high-impact work that sets the foundation for the future of additive manufacturing.

  • Develop, implement, and refine multiphysics simulation models for metal additive manufacturing processes using commercial and custom software.
  • Perform calibration, verification, and validation of simulation models using experimental/physical testing data from AM builds.
  • Support development of automated workflows for parametric studies, uncertainty quantification, and sensitivity analyses using scripting languages and high-performance computing.
  • Prepare detailed documentation, reports, and presentations to communicate model findings, limitations, and recommendations to stakeholders.
  • Collaborate with process, materials, design, and manufacturing teams to translate simulation insights into actionable process changes.
  • Stay current with the latest advancements in AM process modeling, simulation methodologies, and additive manufacturing process control.
  • BS or higher in Mechanical Engineering, Materials Science, Welding Engineering, or equivalent field.
  • 5+ years relevant experience.
  • Strong understanding of heat transfer, mechanics, mechanical behavior of metal and alloy materials and metallurgy.
  • Proficiency with multiphysics analyses involving solid and/or fluid mechanics using tools such as ABAQUS, ANSYS FLUENT, Flow3D, or equivalent.
  • Experience with automated and dynamic meshing techniques.
  • Demonstrated experience with scripting languages (e.g., Python, C++, Fortran) to automate workflows and extend the capabilities of CAE tools.
  • Demonstrated experience with Design of Experiments (DOE) methodologies to optimize processes and validate models against real-world results.
  • 8+ years relevant experience.
  • Experience with high-performance-computing environments for large-scale simulations.
  • Experience with thermodynamic simulations for phase transformation analysis and material property prediction.
  • Experience with multi-disciplinary optimization.
  • Experience working with version control systems (e.g. git).
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