Technical Enablement Engineer developing and operating hands - on lab ecosystems for Semperis cybersecurity products. Collaborating with teams to create validated lab experiences and ensure technical enablement.
About the role
- Senior Geometry / Meshing Engineer developing geometry and mesh generation systems for a copilot platform in hardware design at Vinci4d.
Responsibilities
- Architect and implement robust mesh generation and geometry processing pipelines (surface/volume, unstructured/structured, quad/hex/tri/tet) suitable for industrial-scale hardware design.
- Develop and optimize algorithms for geometry import, repair, parameterization, mesh refinement/coarsening, adaptation, quality improvement, and mesh ↔ simulation interoperability.
- Work with very large geometry/mesh datasets (e.g., tens of millions of points/cells), designing for performance, memory efficiency and GPU/parallel execution.
- Interface with CAD/geometry input (STEP, IGES, B-Rep, etc), preprocess geometry for meshing, handle complex topologies, feature preservation, and simulation readiness.
- Collaborate with ML, physics, simulation and UI/UX teams to define requirements, integrate mesh generation into the larger system, and deliver high-impact features.
- Mentor and lead other engineers: drive best practices, code reviews, algorithmic reviews, and help define roadmap directions for geometry/meshing capabilities.
Requirements
- Bachelor’s (BS) in Computer Science, Applied Mathematics, Computational Geometry, Mechanical/Aerospace Engineering, or related field.
- ≥ 5 years of professional experience (or a Master’s + 3 yrs, or PhD + 1–2 yrs) in geometry processing, meshing or simulation infrastructure.
- Strong software engineering skills in C++ (modern C++ standards) and experience in algorithm design and implementation.
- Experience with GPU / CUDA / OpenCL, high performance computing (HPC), multi-threading, distributed computing a plus
- Deep understanding of computational geometry, mesh generation techniques (triangulation, tetrahedral meshing, hex/quad meshing, mesh refinement/coarsening) and quality metrics.
- Experience working with large geometry/mesh datasets, concerned with performance (CPU/GPU), memory efficiency, parallelism.
- Excellent problem-solving, analytical skills, and the ability to collaborate across disciplines (e.g., simulation, ML, CAD/geometry).
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
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