Research Software Engineer- Simulation Algorithm/ Geometry Processing

REQUIRED: MUST have experience with Code Development + Computational Design and/or Geometry Processing. Applicants will not be considered without this experience.
About Us:
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.
On this Role:
This role is a mix of a few worlds coming together. You’ll be working with machine learning but not in a vacuum. It’s applied to real engineering problems, working with 2D and 3D data from CAD, CAE and CAM systems. A big part of the work is taking complex geometry, design workflows and simulation data and figuring out how to turn that into something an AI system can actually understand and use.
We’re looking for someone who’s strong technically, especially in Python and ML but also has the curiosity to dig into how things are designed and built in the real world. You might come from a research background or industry but either way you’re comfortable moving between theory and practical application. If you’ve spent time around mechanical systems or engineering design, that’s a big plus because a lot of this role is about bridging that gap between advanced models and how engineers actually work day to day.
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
What We Are Looking For
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
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
This 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.
In addition to base salary, eligible employees may receive:
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
We believe compensation should grow alongside impact. Our salary ranges are intentionally designed to provide room for career progression, increased scope of responsibility and continued growth within Foundation EGI.

Work arrangement
Yes