
Research Software Engineer – Simulation Algorithm, Geometry Processing
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Massachusetts.
• Create, develop, and sustain algorithms for geometry processing and simulation tailored for engineering applications.
• Construct services for the reading, processing, and writing of 2D/3D engineering data.
• Develop rendering modules aimed at producing 2D/3D visual assets.
• Organize and oversee extensive datasets for learning-based systems.
• Implement and enhance post-training workflows for machine learning models.
• Contribute to the creation of domain-specific languages for engineering tasks.
• Utilize machine learning to address real-world engineering challenges using 2D/3D data from CAD, CAE, and CAM systems.
• Convert intricate geometry, design workflows, and simulation data into formats compatible with AI systems.
• MUST possess experience in Code Development; candidates lacking this experience will not be considered.
• Over 5 years of academic or industry experience in Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages.
• Skilled in writing clean, modular, and maintainable Python code.
• Experience in dataset creation and the development of data pipelines.
• PhD or MS degree focusing on Computational Design, Simulation, or AI.
• Background in developing CAD/CAM/CAE software tools.
• Familiarity with developing or fine-tuning large language models (LLMs), including post-training techniques such as quantization, pruning, distillation, or reinforcement learning.
• Experience in designing or implementing domain-specific languages (DSLs) or compilers.
• Equity participation in the company's long-term success.
• Comprehensive benefits package, which includes medical, dental, and vision coverage.
• Retirement savings benefits.
• Generous paid time off and company holidays.
• Remote-first work environment.
• Fully funded company offsites and team gatherings.
• Opportunities for professional development and learning.
• Support for home office setup and resources for remote work.
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