Member of Technical Staff - Geometry / Meshing Engineer

Vinci4D.ai; Palo Alto (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Vinci4D.ai in Palo Alto is seeking a Geometry / Meshing Engineer to help design and optimize systems for their next-generation copilot platform. You'll work with computational geometry and large-scale data to accelerate hardware design through intelligent automation.

The ideal candidate has strong software engineering skills in C++ or Python and experience in algorithm design. A competitive compensation range of $180K to $240K is offered.

Qualifications

• Strong software engineering skills in C++ with experience in algorithm design.
• Ability to write high-performance code and optimize for CPU/GPU performance.
• Experience in computational geometry or another numerically intensive area.

Responsibilities

• Develop and optimize algorithms for geometry import and mesh refinement.
• Contribute to geometry processing and mesh generation pipelines.
• Work with large geometry datasets, ensuring performance and efficiency.

Skills

C++

Python

Algorithm Design

Computational Geometry

Problem-Solving

Education

Degree in Computer Science, Applied Mathematics, Mechanical/Aerospace Engineering

Tools

CUDA

OpenCL

High-Performance Computing

Job description

Vinci4d is building the next-generation copilot for hardware designers and engineers, integrating rich text, image and 3D geometry (STL, OBJ, STEP, etc.) workflows with machine learning, physics modeling, and geometry processing pipelines. Our mission is to dramatically accelerate hardware design through intelligent automation, and we are looking for a strong engineer in geometry and meshing to help us build the core systems.

Role Overview

As a Geometry / Meshing Engineer, you will help design, implement, and optimize the geometry and mesh-generation systems that underpin our copilot platform. You will work at the intersection of computational geometry, mesh generation (surface and volume), numerical methods, GPU/parallel architectures, and large-scale geometry data (often millions of points/cells). You will collaborate with our ML and physics simulation teams, contribute to system architecture, and help ensure our geometry infrastructure meets the needs of our hardware-design workflows.

This is primarily a geometry role. Meshing experience is welcome but not required. We are also interested in strong engineers from adjacent areas who can grow into meshing, including those with a background in high-performance geometry or graphics, in HPC and parallel computing, or in physics simulation.

Responsibilities

• Develop and optimize algorithms for geometry import, repair, parameterization, mesh refinement/coarsening, adaptation, quality improvement, and mesh-to-simulation interoperability.
• Contribute to geometry processing and mesh generation pipelines (surface/volume, unstructured/structured, quad/hex/tri/tet) suitable for industrial-scale hardware design.
• Work with large geometry/mesh datasets (e.g., hundreds 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, and handle complex topologies, feature preservation, and simulation readiness.
• Collaborate with ML, physics, simulation, and UI/UX teams to define requirements, integrate geometry and mesh generation into the larger system, and deliver high-impact features.

Qualification

• Strong software engineering skills in C++ (modern C++ standards) and/or Python, with solid experience in algorithm design and implementation.
• Demonstrated ability to write high-performance code and to profile and optimize for CPU/GPU performance and memory efficiency.
• Experience working in a relevant technical domain such as computational geometry, graphics, simulation, or another numerically intensive area.
• Strong problem-solving and analytical skills, and the ability to collaborate across disciplines (e.g., simulation, ML, CAD/geometry).

Nice to Have

• Experience with mesh generation techniques (triangulation, tetrahedral meshing, hex/quad meshing, mesh refinement/coarsening) and quality metrics.
• Experience with GPU / CUDA / OpenCL, high-performance computing (HPC), multi-threading, or distributed computing.
• Experience with CAD import/export (STEP, IGES, B-Rep) and geometry kernels (Parasolid, ACIS, OpenCASCADE).
• Background in physics simulation.
• A degree (BS, MS, or PhD) in Computer Science, Applied Mathematics, Mechanical/Aerospace Engineering, or a related field, or equivalent practical experience.

Compensation Range: $180K - $240K