The EGI platform from the Foundation is designed to speed up all phases of the product development cycle, from design and research to production and documentation, enabling engineers to create better products more quickly and effectively. Backed by Purple Arch Ventures.
About the role
This role is a mix of a few worlds coming together. You’ll be working with machine learning but not in a vacuum. It’s applied to real engineering problems, working with 2D and 3D data from CAD, CAE and CAM systems. A big part of the work is taking complex geometry, design workflows and simulation data and figuring out how to turn that into something an AI system can actually understand and use. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages
- Proficient in writing clean, modular, and maintainable Python code
- Experience with dataset creation and data pipeline development
- PhD or MS with a focus in Computational Design, Simulation, or AI
- Experience developing CAD/CAM/CAE software tools
- Experience developing or fine-tuning large language models (LLMs), including post-training methods such as quantization, pruning, distillation, or reinforcement learning
More about this role
REQUIRED: MUST have experience with Code Development + Computational Design and/or Geometry Processing. Applicants will not be considered without this experience.
We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.
This role is a mix of a few worlds coming together. You’ll be working with machine learning but not in a vacuum. It’s applied to real engineering problems, working with 2D and 3D data from CAD, CAE and CAM systems. A big part of the work is taking complex geometry, design workflows and simulation data and figuring out how to turn that into something an AI system can actually understand and use.
We’re looking for someone who’s strong technically, especially in Python and ML but also has the curiosity to dig into how things are designed and built in the real world. You might come from a research background or industry but either way you’re comfortable moving between theory and practical application. If...
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