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Relativity Space · 3 hours ago

Senior Additive Simulation Engineer

Long Beach, California

Full-time

Onsite

Senior Level

$130K/yr - $166K/yr

5+ years exp

Relativity Space is building rockets to serve today’s needs and tomorrow’s breakthroughs. The Senior Additive Simulation Engineer will develop and validate simulation frameworks for metal additive manufacturing processes, integrating advanced modeling techniques to enhance efficiency and accuracy.

3D TechnologyAerospaceArtificial Intelligence (AI)Manufacturing

Responsibilities

Develop, implement and validate next-generation simulation frameworks that leverage physics-based and data-driven approaches to accelerate Multiphysics analyses for metal additive manufacturing (AM) processes

Integrate physics-informed or reduced-order models into existing FEA/CFD workflows (e.g., Abaqus, Flow-3D) to enhance speed and scalability

Build and calibrate surrogate models that accurately approximate high-fidelity simulations while maintaining minimal accuracy loss

Analyze and balance trade-offs among model fidelity, computational efficiency, and generalization performance for different applications

Evaluate and deploy AI‑driven simulation frameworks (e.g., Altair PhysicsAI, Ansys SimAI) to accelerate thermomechanical and fluid simulations, model calibration, and design optimization

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 to promote adoption of advanced simulation methodologies

Stay current with the latest advancements in AM process modeling, simulation methodologies, and additive manufacturing process control

Qualification

Finite Element AnalysisMultiphysics SimulationPython ProgrammingData ScienceAdditive ManufacturingCommunicationTeam CollaborationProblem Solving

Required

BS or higher in Aerospace Engineering, Mechanical Engineering, Materials Science, Welding Engineering, Data Science, or a related field

5+ years relevant experience

Strong understanding of heat transfer, mechanics, finite element methods, and numerical modeling for structural and Multiphysics applications

Hands-on experience with multiphysics analyses involving solid and/or fluid mechanics using tools such as ABAQUS, ANSYS, Flow3D, COMSOL or equivalent, including setup, analysis and interpretation of results

Experience with automated and dynamic meshing techniques

Proficient in Python programming, with experience in numerical and scientific computing libraries such as NumPy, SciPy and related tools

Experience with data preprocessing, model training, and validation workflows, including handling simulation datasets and building data pipelines for AI/ML applications

Excellent communication skills, with ability to convey complex technical concepts effectively to interdisciplinary teams and stakeholders

Preferred

PhD in Aerospace Engineering, Mechanical Engineering, Materials Science, Welding Engineering, Data Science, or a related field, with a strong focus on computational modeling or AI applications

8+ years relevant experience

Background in advanced machine learning, reduced-order modeling, or adaptive remeshing, with experience in integrating these approaches into physics-based modeling and simulation workflows

Proven ability to translate research concepts into practical, deployable solutions in engineering or simulation contexts

Experience working with version control systems (e.g. git)