Foundation EGI
Foundation EGI
Foundation EGI विनिर्माण और इंजीनियरिंग टीमों के लिए एंटरप्राइज़ सॉफ़्टवेयर विकसित करता है, जो 3D CAD डेटा को उपयोगी तकनीकी दस्तावेज़ों में बदलता है। इसका AI-संचालित प्लेटफ़ॉर्म डिजिटल असेंबली से पार्ट्स कैटलॉग, GD&T ड्रॉइंग, असेंबली अनुक्रम और बहुभाषी ऑपरेटर व सेवा मैनुअल तैयार करता है। औद्योगिक कार्यप्रवाहों में मशीन लर्निंग और कम्प्यूटेशनल डिज़ाइन का उपयोग करके Foundation EGI संगठनों को दस्तावेज़ीकरण की सटीकता और ट्रेसबिलिटी बेहतर करने, ड्राफ्टिंग के प्रयास को कम करने और उत्पाद विकास में तेजी लाने में मदद करता है।

Research Software Engineer – Simulation, Algorithms and Geometry Processing

Develop geometry processing, simulation, and rendering systems for engineering applications. Apply machine learning to CAD, CAE, and CAM data to support AI-assisted design and manufacturing.

विवरण

  • Create and maintain geometry-processing and simulation algorithms for engineering use cases
  • Develop services that read, transform, and write 2D and 3D engineering data
  • Build rendering components that produce 2D and 3D visual assets
  • Organize and maintain large datasets for machine-learning applications
  • Implement and improve post-training pipelines for machine-learning models
  • Help create domain-specific languages for engineering workflows
  • Use machine learning to solve engineering problems involving CAD, CAE, and CAM data
  • Convert complex geometry, design processes, and simulation information into formats suitable for AI systems

आवश्यकताएँ

  • Demonstrated code-development experience is essential for consideration
  • At least five years of academic or industry experience in geometric processing, simulation, optimization, machine learning, or domain-specific languages
  • Ability to write clean, modular, and maintainable Python
  • Experience creating datasets and developing data pipelines
  • PhD or MS focused on computational design, simulation, or artificial intelligence
  • Background building software tools for CAD, CAM, or CAE
  • Experience developing or fine-tuning large language models, including quantization, pruning, distillation, or reinforcement learning
  • Experience designing or implementing domain-specific languages or compilers

लाभ

  • Opportunity to participate in the company’s long-term success through equity
  • Medical, dental, and vision coverage through a comprehensive benefits package
  • Retirement savings support
  • Generous paid time off and company holidays
  • Remote-first working arrangement
  • Company-funded offsites and team gatherings
  • Professional development and ongoing learning opportunities
  • Home-office assistance and remote-work resources

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