4 часа назад
Geometry / Meshing Engineer
180 000 - 240 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Geometry / Meshing Engineer (C++/Python): Building and optimizing geometry processing and mesh-generation systems for an AI copilot for hardware designers, with an accent on computational geometry, CAD interoperability, numerical methods, and GPU/parallel execution. Focus on processing industrial-scale geometry datasets, preserving complex topology and features, and integrating geometry pipelines with ML and physics simulation workflows.
Location: Palo Alto HQ, hybrid
Salary: $180K–$240K per year
Company
4d is building an AI copilot for hardware designers and engineers, combining text, image, 3D geometry, machine learning, physics modeling, and geometry-processing pipelines.
What you will do
- Design, implement, and optimize geometry import, repair, parameterization, mesh refinement and coarsening, adaptation, and quality-improvement algorithms.
- Build surface and volume mesh-generation pipelines for structured and unstructured quad, hex, tri, and tet meshes.
- Process geometry and mesh datasets containing hundreds of millions of points or cells with strong performance and memory efficiency.
- Prepare CAD and B-Rep geometry for meshing, preserving complex topologies and features for simulation.
- Optimize CPU/GPU execution and integrate geometry systems with ML, physics simulation, and UI/UX workflows.
Requirements
- Strong software engineering and algorithm implementation skills in modern C++ and/or Python.
- Experience writing, profiling, and optimizing high-performance code for CPU/GPU execution and memory efficiency.
- Relevant experience in computational geometry, graphics, simulation, or another numerically intensive domain.
- Strong analytical, problem-solving, and cross-disciplinary collaboration skills.
Nice to have
- Experience with mesh generation, triangulation, tetrahedral, hex, or quad meshing, mesh adaptation, and quality metrics.
- Experience with CUDA, OpenCL, HPC, multithreading, or distributed computing.
- Experience with STEP, IGES, B-Rep, or geometry kernels such as Parasolid, ACIS, and OpenCASCADE.
- Background in physics simulation.
- BS, MS, or PhD in Computer Science, Applied Mathematics, Mechanical or Aerospace Engineering, or a related field, or equivalent practical experience.
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