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CAD Automation Researcher

universalagiSan FranciscoTechnical Staff
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Salary
Not listed
Job type
Full-time
Experience
Senior · 2+ yrs
Posted
29 Sept 2026
Status
Open · checked 7d ago

About this role

CAD Automation Researcher is a full-time onsite position at universalagi in San Francisco, where the selected professional builds foundation artificial intelligence models to process and optimize engineering geometry. This role suits a specialized researcher with deep learning and computational geometry expertise who wants to eliminate manual bottlenecks in industrial simulation pipelines.

Role Overview

UniversalAGI is hiring a CAD Automation Researcher to work onsite five days a week in San Francisco. The professional collaborates directly with the chief executive officer and founding team to develop artificial intelligence models that convert raw computer-aided design geometry into simulation-ready formats. The position focuses on removing major design bottlenecks by integrating learned geometry representations with physics simulation models.

Key Responsibilities

Create methods to automatically repair, defeature, and simplify raw computer-aided design geometry into formats ready for simulation.
Build general-purpose optimization techniques, including topology optimization, shape optimization, and differentiable design search, operating directly on learned geometry and physics model outputs.
Design and train models such as implicit neural networks, graph neural networks, and diffusion models for geometry generation and reconstruction from incomplete or multi-format inputs.
Manage the workflow from synthetic geometry data generation and training to evaluation and deployment into production simulation pipelines.
Partner directly with company leadership and the physics research group to integrate geometry and optimization models into the broader foundation model stack.
Help establish the technical direction for artificial intelligence-driven geometry generation and share findings internally and externally.

Requirements

Hold a Doctor of Philosophy in Computer Science, Mechanical Engineering, Computational Geometry, or a related field, or possess equivalent hands-on industry research experience.
Bring a minimum of two years of experience building deep learning models for geometry processing, computer graphics, computational geometry, or three-dimensional generative modeling.
Demonstrate hands-on understanding of computer-aided design representations, boundary representations, kernels like OpenCASCADE or Parasolid, mesh generation, and healing techniques.
Show a proven research record applying modern architectures like graph neural networks, implicit neural networks, transformers, or diffusion models to three-dimensional geometry or physical design problems.
Maintain practical experience with physical design optimization methods such as topology optimization, shape optimization, or differentiable design search.
Exhibit expert proficiency in Python and deep learning frameworks like PyTorch or JAX to build and train models from scratch.

Nice to Have

Published research in top-tier venues including NeurIPS, ICML, ICLR, SIGGRAPH, or CVPR.
Experience working with or extending commercial computer-aided design kernels, computer-aided design software, or computer-aided manufacturing internals.
Familiarity with reinforcement learning or large language model approaches applied to design or geometry automation.
Domain expertise covering aerospace, automotive, or industrial manufacturing design workflows.
Open-source contributions to geometry processing, computer-aided design, or three-dimensional deep learning libraries.
Prior experience working within high-growth artificial intelligence or engineering software startups.

Skills and Tools

Python
PyTorch
JAX
OpenCASCADE
Parasolid
Graph Neural Networks
Diffusion Models
Implicit Neural Networks
Transformers
Boundary Representations

Salary and Benefits

Competitive salary alongside significant equity upside.
Company-paid health, dental, and vision insurance benefits.
Access to a 401(k) retirement plan.
Flexible vacation policy.
Artificial intelligence tools stipend, monthly commute stipend, and monthly wellness or fitness stipend.
Daily office lunch and dinner provided by the company.
Immigration support.
Team building activities and fun events.

About the Company

UniversalAGI operates a team of twenty-five researchers and engineers located in San Francisco. The organization builds foundation models that learn physics directly from data, deploying solutions for industrial and defense organizations. The company maintains backing from notable investors and industry leaders.

How to Apply

Interested candidates should review the full details and submit an application on the official company careers page.

Skills and tech stack

PythonPyTorchJAXOpenCASCADEParasolidGraph Neural NetworksDiffusion ModelsImplicit Neural NetworksTransformersReinforcement LearningDeep LearningDiffusion

Questions candidates ask

Where is the CAD Automation Researcher position located?

The role is located onsite in San Francisco, requiring five days a week in the office.

What qualifications are required for this role?

Candidates need a PhD in Computer Science, Mechanical Engineering, Computational Geometry, or a related field, or equivalent industry research experience, along with two or more years of experience building deep learning models for geometry processing or three-dimensional generative modeling.

What programming languages and frameworks are used?

The role requires expert Python proficiency and deep learning framework proficiency in PyTorch or JAX.

What benefits and compensation are provided?

The company offers a competitive salary, equity, company-paid health, dental, and vision benefits, a 401(k) plan, flexible vacation, immigration support, stipends for AI tools, commuting, and wellness, as well as daily catered lunch and dinner.

Who does the CAD Automation Researcher report to or work with?

The researcher works directly with the chief executive officer, the founding team, and the physics research group.

Ready to apply?

The application is on the official universalagi careers page.

Apply on company site