Research Engineer - Computational Design

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.ResponsibilitiesDesign, develop, and maintain geometry processing and simulation algorithms for engineering applicationsBuild services for reading, processing, and writing 2D/3D engineering dataDevelop rendering modules for generating 2D/3D visual assetsCurate and manage large-scale datasets for learning-based systemsImplement and optimize post-training workflows for machine learning modelsContribute to the development of domain-specific languages for engineering tasksWhat We Are Looking For5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific LanguagesBSc or MSc in Computer Science, Engineering, or a related fieldProficient in writing clean, modular, and maintainable Python codeExperience with dataset creation and data pipeline developmentBonus PointsPhD or MS with a focus in Computational Design, Simulation, or AIExperience developing CAD/CAM/CAE software toolsExperience developing or fine-tuning large language models (LLMs), including post-training methods such as quantization, pruning, distillation, or reinforcement learningExperience designing or implementing DSLs or compilersWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.