Computational Mechanics, Computer Aided Design Researcher

• Develop computational geometry and mechanics algorithms that reason directly on CAD models to support design evaluation and optimization.

• Research and prototype AI assisted generative design workflows that combine data driven methods with physics and geometry aware reasoning.

• Build CAD integrated solutions within Siemens NX to enable push button analysis, design exploration, and manufacturability checks.

• Design and validate methods that balance learning based approaches with deterministic evaluation, ensuring results are explainable and repeatable.

• Collaborate with cross functional partners in R&D, Manufacturing, Product Engineering and IT to transition research concepts into scalable engineering tools.

• Communicate research outcomes through technical reports, demonstrations, and presentations to engineering and leadership audiences.

• PhD in Mechanical Engineering, Computer Science, Applied Mathematics, Computer Graphics, or a related field.
• OR MS Mechanical Engineering, Computer Science, Applied Mathematics, Computer Graphics, or a related field and 2+ years of equivalent experience.
• Strong background in computational mechanics, numerical methods, or simulation-driven design.
• Expertise in computational geometry or computer graphics, such as surface representations, geometry processing, feature detection, or geometric optimization.
• Proficiency in Python and/or C/C#/C++ for algorithm development and research prototyping.
• Experience applying machine learning to engineering or geometry-centric problems.
• Ability to design rigorous experiments and validate results using appropriate engineering metrics.
• Strong written and verbal communication skills.

• PhD in Mechanical Engineering
• MS in Mechanical Engineering