Computational Design Research Engineer

Foundation EGI

Computational Design Research Engineer developing machine learning solutions for engineering applications. Bridging the gap between advanced AI models and real-world engineering design within a venture-backed startup.

Posted 7/7/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesMid-LevelSenior💰 $100,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Geometry Processing, Simulation, and Machine Learning, with a strong focus on developing and optimizing algorithms and data pipelines. Proficient in Python programming and experienced in creating CAD/CAM/CAE software tools and domain-specific languages.

Highest-signal resume keywords

Geometry ProcessingMachine LearningPython ProgrammingCAD/CAM/CAE Software DevelopmentDomain-Specific Languages

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Algorithm DevelopmentData Pipeline Development2D/3D Data ProcessingRendering Module DevelopmentDataset CreationPost-Training WorkflowsQuantizationPruningDistillationReinforcement Learning

Certifications & Qualifications

PhD in Computational DesignMS in SimulationMS in AI

Industry Keywords

SimulationOptimizationLarge Language ModelsEngineering ApplicationsClean Code

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
Build services for reading, processing, and writing 2D/3D engineering data.
Develop rendering modules for generating 2D/3D visual assets.
Curate and manage large-scale datasets for learning-based systems.
Implement and optimize post-training workflows for machine learning models.
Contribute to the development of domain-specific languages for engineering tasks.

Requirements

What you’ll need

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.
Experience designing or implementing DSLs or compilers.

Benefits

Comp & perks

Equity participation in the company's long-term success
Comprehensive benefits package including 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
Professional development and learning opportunities
Home office support and remote work resources