You will architect a high-performance C++ engine that serves as the geometric intuition for an AI-native engineering platform. By bridging the gap between raw CAD data and high-level reasoning, you will enable AI agents to understand the physical world, ultimately making hardware development ten times faster for global engineering teams.
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London, United KingdomNot Disclosed + Equity
Engineering Spatial Intelligence Role at VC-backed AI hardware engineering startup
Current AI models are brilliant at text but illiterate in 3D space—this role is changing that. Join a well-funded London startup as a founding engineer to build the high-performance C++ engine that gives AI agents 'geometric intuition.' You'll bridge the gap between raw CAD data and semantic reasoning, working alongside a cracked team of aerospace engineers to make hardware development 10x faster. If you're a C++ expert with a background in physical engineering and a hunger for hard math, this is your chance to define a new category of spatial intelligence.
Overview
Role overview
Company
About the company
VC-backed AI hardware engineering startup
Responsibilities
What you will do
- Architect and build a high-performance C++ core for the proprietary IRIS ingestion pipeline to handle complex real-world engineering data.
- Develop novel algorithms to extract semantic "design intent" from raw B-Reps, surfaces, and topological data for AI model consumption.
- Collaborate directly with AI engineers to integrate geometric insights into agent frameworks, ensuring near-instant processing speeds for massive datasets.
Candidate profile
Who this is a fit for
- Holds a degree in Mechanical, Aerospace, or Robotics engineering with hands-on experience building hardware or working with geometry kernels.
- Demonstrates mathematical fluency in linear algebra, 3D vector math, and topology, alongside 1-3 years of experience in high-intensity deep tech environments.
- Maintains an AI-native workflow and a first-principles mindset, eager to take extreme ownership over a system built entirely from scratch.
What makes it remarkable
Why this role is remarkable
- Work at the bleeding edge of "Hard Tech" where you solve complex problems at the intersection of geometry, graph theory, and generative AI.
- Join an elite founding team of Imperial College engineers with experience at ESA, Rolls-Royce, and top-tier AI laboratories.
- Secure a meaningful founding equity stake in a well-funded company backed by prominent investors to reshape the future of physical innovation.
Jack & Jill
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 14 million jobs daily and introduces you directly to hiring managers.
How does this work?
Jack's an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
Jack