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Meshy

Generates 3D assets from prompts

Machine Learning Engineer - HPC

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNo salary listedHybrid

About the Job

Requirements

  • Hands-on experience with CUDA and GPU programming.
  • Strong programming skills in C++ and Python.
  • Solid understanding of parallel programming, performance tuning, and numerical computation.

Responsibilities

  • Design, implement, and optimize GPU computing kernels to accelerate model training and inference for next-generation 3D generative AI models.
  • Develop and maintain domain-specific libraries and performance-critical components for 3D generation workloads.
  • Work closely with researchers and infrastructure engineers to identify bottlenecks, benchmark performance, and deliver high-efficiency, production-ready GPU modules.

Desired Qualifications

  • Experience with quantization, model compression, or other efficiency-oriented model optimization techniques.
  • Knowledge of computer graphics, rendering pipelines, or geometry processing.
  • Familiarity with GPU profiling tools such as Nsight or nvprof, or hardware-aware optimization.

About the Company

Meshy

Generates 3D assets from prompts

Meshy builds AI tools that generate 3D assets from text prompts or 2D images in minutes. Its platform covers Text-to-3D, Image-to-3D, AI texturing, and automated animation and rigging, and can export models in FBX, GLB, and STL for use in Blender, Unity, and Unreal Engine. It offers an API for developers and plugins for 3D software, enabling easy integration and workflow automation. Its goal is to speed up and simplify 3D content creation for game developers, artists, designers, hobbyists, and industries like XR, 3D printing, and architecture, through a credit-based access model.

Company size
51-200
Company stage
Series B
Total funding
$400M
Headquarters
San Jose, CA
Founded
2021

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