Member of Technical Staff - Geometry / Meshing Engineer
Vinci Vr
Palo Alto, CA · $180k–$240k a year · Posted May 28, 2026
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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.
November 2026
- #3Best cities for entry-level jobs that want AI skills28% · of 100
- #3Best cities for entry-level jobs that want AI skills in the West Coast28% · of 54
- #3Best cities for AI-skill jobs37% · of 100
- #3Best cities for AI-skill jobs in the West Coast37% · of 71
- #4Best cities for data and analytics pay after cost of living$207k · of 28
- #4Best all-round cities for mid-career professionals83 / 100 · of 100
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
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.
Skills this job asks for
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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.