Senior Applied Research Scientist – Computational Geometry, Meshing

This is a fully remote position, open to applicants in Germany.

📋 Description

• Develop algorithms focused on computational geometry, interoperability in computer-aided engineering and design, mesh generation, mesh adaptation, spatial data structures, and curved discretization.

• Conduct research in differentiable geometry, AI-driven geometry processing, learning-based meshing and discretization, as well as design-to-simulation workflows aimed at inverse design, simulation-ready digital twins, and autonomous engineering processes.

• Investigate solver- and hardware-aware geometry and discretization techniques that optimize mesh quality, numerical precision, robustness, and overall simulation efficiency.

• Establish benchmarks for evaluating mesh quality, geometry conversion, discretization accuracy, robustness, the impact on downstream solvers, and comprehensive simulation performance.

• Collaborate with teams across various platforms including Omniverse, OpenUSD, Warp, solver engineering, NVIDIA Research, universities, and industrial partners engaged in computer-aided engineering, electronic design automation, chip manufacturing, electronics, and digital twin workflows.

⛳️ Requirements

• PhD or equivalent qualification in computer science, computational geometry, scientific computing, graphics, applied mathematics, computational mechanics, engineering, or a related discipline.

• Over 5 years of relevant experience.

• More than 5 years of demonstrable experience in computational engineering, specifically with a focus on computational geometry, geometry processing, mesh generation, adaptive discretization, CAD and CAE algorithms, or simulation-ready representations.

• Proficiency in C++ and Python, with experience in developing algorithms for complex geometry.

• In-depth knowledge of boundary representations, topology, mesh quality, discretization error, numerical robustness, and solver requirements, backed by research, software development, or industry impact.

• Familiarity with CAD kernels or formats such as Parasolid, ACIS, Open Cascade, CATIA, NX, Creo, SOLIDWORKS, STEP, IGES, B-Rep, NURBS, or spline-based representations.

• Experience in generating tetrahedral, hexahedral, polyhedral, anisotropic, adaptive, boundary-layer, curved, or high-order meshes.

• Background in isogeometric analysis, remeshing, meshless methods, topology optimization, shape optimization, differentiable geometry, or AI-driven mesh generation.

• Experience with geometry repair, feature or simulation-intent recognition, parameterization, persistent correspondence, learning-based geometry representations, GPU spatial algorithms, or solver-aware adaptation.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Generous paid time off and holiday policy.

• Opportunities for professional development and continuous learning.

• Collaborative and innovative work environment.