Worldmodeldata
Tech Lead · Full-Stack & Game Systems Architect
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
ABOUT WORLDMODELDATA
Worldmodeldata is building the trusted data backbone for the next generation of AI — world models and embodied AI. We extract millions of multi-modal, action-conditioned trajectories from video games and deliver them as training-ready datasets to frontier AI labs. Strategically advised by Prof. Yann LeCun. We are lean, well-funded, and operating at high speed.
THE ROLE
This is the most senior technical hire we will make. You will be the technical lead of Worldmodeldata — owning the architecture end-to-end, from game engine data extraction through to the cloud pipeline that delivers clean, structured datasets to Lab clients. You will review our Systems Engineer's Rust and C++ code, drive R&D when clients need non-standard data layers, and be the person Labs talk to when they want something that has never been built before.
This role demands a genuinely rare combination: deep game engine and low-level systems knowledge, full-stack product engineering, and the communication instinct to lead a technical conversation with an AI research team. If you have strong opinions about how data flows from a game's scene graph to a GPU — and can also ship a backend API and talk to a client — read on.
WHAT YOU WILL OWN
- End-to-end technical architecture across all product streams — installer, cloud backend, data pipeline, and client delivery
- Design decisions and product direction — translating business requirements into technical and UX guidance for the Product Designer, ensuring what gets built matches what clients and contributors actually need
- Game data extraction R&D — designing and implementing custom data capture layers for non-standard client requests
- Code review of the Systems Engineer's Rust/C++ collector — correctness, memory safety, and performance
- Cloud backend and ingestion API — auth, token system, contributor management, and client distribution (batch and streaming)
- Client-facing technical engagement — scoping calls, feasibility assessment, and delivery against Lab research requirements
- Architecture decisions across all streams; defining contracts between the installer, pipeline, and web platform
- Mentorship and technical direction for a small engineering team
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
SKILLS & EXPERIENCE
Game Engine & Systems
- Deep knowledge of game engine internals — rendering pipeline, scene graph, object transforms, G-buffer composition, velocity buffers, depth buffers, and post-processing stages
- Expert-level C++, C#, and Rust proficiency; ability to write and critically review production systems code across all three
- Experience with graphics APIs — Direct3D (DX11/DX12), Vulkan, or OpenGL — and how game state flows through to GPU execution
- Familiarity with binary analysis, memory inspection, hooking, or instrumentation at the process or graphics API level
- Understanding of how games manage and stream assets, textures, and scene data — and the GPU memory and bandwidth implications
Full-Stack & Cloud
- 5+ years of production backend engineering (Python, Node.js, or Go); comfortable owning an API layer end-to-end
- Experience designing and shipping on AWS or GCP — compute, storage, IAM, and networking
- Confident with authentication systems, token management, and security fundamentals
- Enough frontend literacy to review and contribute to a React/TypeScript web platform (you are not the primary frontend author)
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Technical Leadership & Client-Facing
- Track record of leading technical architecture across a multi-stream product — making decisions, writing specs, and getting alignment without a large committee
- Comfortable in a client-facing R&D context: able to translate a researcher's data requirement into a concrete technical specification, and to push back when the ask is infeasible
- Experience reviewing systems-level code and giving feedback that improves both correctness and the engineer
WHAT WE LOOK FOR
- You think about data extraction and data quality as a systems problem, not just a pipeline problem
- You thrive in fast-moving environments with short development cycles — you can scope, build, and ship without waiting for a complete specification
- You can hold a client conversation with a research team at a major AI lab without needing translation
- You have a strong engineering instinct — you care deeply about how things are built, not just that they work
NICE TO HAVE
- Exposure to ML training data pipelines, embedding storage, or large-scale data packaging for research use
- Prior experience in game development, game tooling, or the game modding community
- Familiarity with HLSL or GLSL shader programming
- Understanding of multi-modal data capture (video, depth, telemetry) and frame-level annotation
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location