---
title: 'Computational Design Research Engineer at Foundation EGI'
canonical: 'https://feeny.ai/job/computational-design-research-engineer-foundation-egi-remote-5w05399qpmjc'
type: 'job'
last_seen: '2026-09-09'
---

# Computational Design Research Engineer at Foundation EGI

- **Company:** Foundation EGI
- **Location:** Remote
- **Compensation:** $100k–$140k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-07
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.lever.co/foundation-llm-technologies/a546b2ca-fd7a-458a-97be-b89cd89fa42b

## Job description

REQUIRED: MUST have experience with Code Development. 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.

## About Foundation EGI

## Company Overview
- **One-liner**: Foundation EGI is an AI platform that automates how manufacturers create, manage, and distribute technical documentation — transforming 3D CAD designs into technical drawings, workstep sequences, product catalogs, and multilingual manuals.
- **Entity Type**: Private (funding stage not publicly disclosed; "backed by top VCs" as of 2025)
- **Headquarters**: Not explicitly disclosed — remote-friendly company with roots at MIT CSAIL (Cambridge, MA, USA) and leadership based in the San Francisco Bay Area (Los Altos, CA)
- **Founded**: 2023 (incorporated late 2023; research began at MIT CSAIL in 2022)
- **Founders**: Dr. Mok Oh (Co-founder & CEO), Prof. Wojciech Matusik (Co-founder & Chief Scientist), Michael Foshey (Co-founder & Head of Research)

## Core Business
- **Primary industries**: AI for manufacturing / engineering software ("engineering intelligence"); technical documentation automation for physical product companies
- **Target customers**: B2B, enterprise — manufacturers and companies that build physical products
- **Mission**: "Building the AI layer for physical engineering" — the company states: "We believe the companies building physical products deserve tools as intelligent as the products they build."

## Products & Services
The EGI Platform ("Engineering Automation") is the core offering, a SaaS/AI platform with four major modules:

- **Production-ready drawings from CAD**: Instantly generates GD&T technical drawings with accurate views and dimensions, AI-assisted feature detection/annotation, and standards-compliant output — eliminating manual drafting bottlenecks.
- **Workstep sequences**: Automatically generates optimized workstep sequencing and production plans from CAD geometry, with interference/tooling clearance validation and automated diff analysis between model revisions.
- **Product catalogs from CAD**: Generates precise 2D and 3D product catalogs directly from CAD designs, ready to publish when designs are finalized.
- **Technical manuals**: Produces operator and service manuals in multiple languages with full technical precision, no lost context or manual reformatting between revisions.

## Market Standing
- **Valuation**: Not publicly available
- **Key Metric (Private)**: Total funding not disclosed — company site confirms "top VCs" backing as of 2025 but does not name investors or amounts
- **Notable Investors/Partners**: Not named publicly on the company site; investors described only as "Top VCs"
- **Growth Signals**:
  - Research began at MIT CSAIL in 2022; incorporated late 2023
  - First enterprise customer landed in 2024
  - Platform expansion and VC backing in 2025
  - Actively hiring across engineering, product, and research (open roles listed on Lever)
  - Leadership team includes executives formerly at Mercari, Samsung, PayPal, Apple, Honda Drivemode, Flexport, Rakuten, and Viki

## Competitive Advantages
- **MIT CSAIL research origin**: Born from a research project at MIT's Computer Science and Artificial Intelligence Laboratory, giving the company deep academic credibility in AI, computer graphics, and digital fabrication.
- **Deep technical rigor**: The team describes itself as "scientists and engineers first" — every feature is grounded in research and validated against real manufacturing workflows before reaching customers.
- **Factory-floor domain depth**: Years spent understanding the specific constraints of physical product companies — the platform reflects real manufacturing reality, not just lab conditions.
- **Human-in-the-loop philosophy**: AI is designed to "remove toil, not replace judgment" — engineers stay in control while automation handles tedious work, a differentiator for adoption in regulated/enterprise environments.
- **Strong founder pedigree**: CEO Dr. Mok Oh (MIT Ph.D., former executive at Mercari, Samsung, PayPal), Chief Scientist Prof. Wojciech Matusik (MIT CSAIL professor, former Adobe/Disney Research), and Head of Research Michael Foshey (10+ years at MIT CSAIL in design/manufacturing AI).

## Strategic Focus
- Scaling the EGI platform from first enterprise customer (2024) to broader market expansion (2025 onward)
- Automating the full engineering documentation workflow "from design to manufacturing"
- Growing the team across engineering, product, and research while maintaining a remote-friendly, research-driven culture
- Standardizing documentation processes at scale for manufacturers (reducing errors, removing manual drafting bottlenecks)

## Why Work Here
- **Small team, hard problems**: The careers page explicitly pitches "a small team solving hard problems at the intersection of mechanical engineering and AI."
- **Remote-friendly**: All open roles are open to remote candidates unless otherwise noted.
- **Open roles**: Hiring across engineering, product, and research (posted on the Lever careers page under "Foundation LLM Technologies").
- **Research-backed culture**: Founders and team come from MIT CSAIL and leading tech companies (Mercari, Samsung, PayPal, Apple, Flexport, Honda Drivemode), combining academic rigor with scaled product experience.
- **Mission-driven work**: Opportunity to build AI infrastructure for an underserved market — physical product/manufacturing companies that still generate documentation by hand.
- **Global, multilingual team**: Team members span the US and Asia and bring experience leading global engineering and product organizations.

## Sources
1. [foundationegi.com — Homepage](https://www.foundationegi.com/)
2. [foundationegi.com — About](https://www.foundationegi.com/about)
3. [foundationegi.com — Careers](https://foundationegi.com/careers)
4. [foundationegi.com — Company/Team](https://www.foundationegi.com/company)
5. [jobs.lever.co — Open Roles](https://jobs.lever.co/foundation-llm-technologies)

## Other roles at Foundation EGI

- [Mechanical Design Integrations Backend Engineer](https://feeny.ai/job/mechanical-design-integrations-backend-engineer-foundation-egi-boston-6yfrbqw6wy2f) — Boston, MA
- [CAD Integrations Backend Engineer](https://feeny.ai/job/cad-integrations-backend-engineer-foundation-egi-boston-gxm1zdd2sgwg) — Boston, MA
- [Software Architect](https://feeny.ai/job/software-architect-foundation-egi-boston-623mkgrgts1n) — Boston, MA
- [ML Ops Engineer (Boston, MA)](https://feeny.ai/job/ml-ops-engineer-boston-ma-foundation-egi-boston-wyk91nsfjv15) — Boston, MA