Computational Design Research Engineer

About the role

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.

Responsibilities

• 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

• MUST have experience with Code Development + Computational Design and/or Geometry Processing

Qualifications

• 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

Skills

• Strong technically, especially in Python and ML
• Curiosity to dig into how things are designed and built in the real world
• Comfortable moving between theory and practical application
• Experience around mechanical systems or engineering design

Benefits

• Comprehensive benefits package including medical, dental and vision coverage
• Roth retirement savings benefits
• Broadly 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

Pay

The range represents base compensation only and is intended to provide flexibility for candidates with varying levels of experience, expertise and demonstrated impact. Final compensation will be determined based on factors including skills, experience, location, and overall alignment with the role.

Schedule

Remote-first work environment