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Rebuild engineering design from first principles.

Why Enginuity Labs

A small team on one of the hardest problems in engineering software.

We’re building AI that does real engineering — it reasons about geometry, runs the physics, and hands back a design that holds up. That reaches from GPU clusters down to geometry kernels, and it’s early enough that the person who owns each layer is the one we’re hiring now.

You’ll work close to the founders and see your work in the product in weeks, not quarters. We hire for raw talent and first-principles thinking — not degrees, titles, or years on a résumé.

  • Full-time
  • Early team

Open roles / 01—04

Four ways to build with us.

Each role owns a layer of the stack — from the compute that trains the models to the interface engineers touch. Founding hires, with deep ownership from day one.

01

Infrastructure

AI, Cloud & Distributed Compute

Build the compute backbone the engineering agents train and run on — GPU clusters, distributed training and inference, orchestration, and the cloud platform that runs geometry and simulation workloads at scale. Tuned for throughput, reliability, and cost.

  • Distributed training
  • GPU orchestration
  • Cloud platform

02

Machine learning

Post-Training

Turn base models into engineering agents you can trust. Fine-tuning, RL, and reward modeling, plus the data and evaluation pipelines that teach a model to reason about geometry, physics, and real CAD tasks — and to know when it's wrong.

  • RL & fine-tuning
  • Reward modeling
  • Evals & data

03

Systems

Low-Level Systems

Own the performance-critical core — geometry kernels, B-rep and meshing, solver integration, and parsers for STEP and other CAD formats. It's where the physical model actually lives, and where microseconds and numerical robustness decide whether the product feels instant.

  • Geometry kernels
  • C++ / Rust
  • Numerical robustness

04

Product

Application Development

Build the studio engineers live in — the editor, the agent surfaces behind Archimedes and DaVinci, real-time 3D, and the end-to-end product experience. You turn the intelligence underneath into a tool people reach for every day.

  • Product engineering
  • Real-time 3D
  • Full-stack

What we look for

Talent over pedigree. Every time.

We don’t care where you went to school — or whether you did. Degrees, titles, and the rest of the résumé filler tell us nothing. We want people who are exceptionally talented, reason from first principles, and can grow into the ones running this company — with the conviction to back their own judgment.

01

First principles or nothing

Reason from the ground up, not from whatever a framework or a textbook handed you. We'd rather you take one hard problem all the way down than skim the top of ten. Show us how you think and what you've built — the pedigree is noise.

02

Future leaders

We're hiring people who can grow into the ones running this — owning whole parts of the company within a couple of years. Each role owns a layer of the stack outright from day one, and that ownership is the audition.

03

Strong convictions

Independent thinkers with the confidence to argue for what they believe — and to change their minds when the evidence does. We'll take sharp judgment and a real point of view over polish and easy agreement every time.

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