← Search all jobs

Member of Technical Staff - Geometry / Meshing Engineer

Vinci Vr

Palo Alto, CA · $180k–$240k a year · Posted May 28, 2026

Just laid off? Start here: a plan for the first weeks

See every open role at Vinci Vr

More in California job market · All Member of Technical Staff jobs (368) · Technology & Software · Engineering jobs

More roles at Vinci Vr

Similar jobs

Where Palo Alto, CA ranks

Where Palo Alto, CA placed in our monthly rankings, month by month. Each month stays online at its own address.

Pay compared with the market

This listing pays about $210,000 a year. Across 136 open member of technical staff listings that state pay, the middle half runs $212,000 to $270,000 and the median is $240,000. That is 12% below the median, below the middle half of those listings.

Listed pay is what employers advertise, not what people are paid.

Member of Technical Staff salaries by state · Check your own pay

How AI is used in this kind of work

Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

Check how this applies to your own job

Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

About the job

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.