Member of Technical Staff, Simulated Universes
Ineffable Intelligence· Technical Staff
LondonFull-timePosted 3w ago
About the role
Role focused on building, scaling, and maintaining simulated environments to enable emergent intelligence in a super learner project. Emphasis on designing, implementing, and operating large-scale, distributed simulations and environments that support rapid research iteration.
Responsibilities
- Build the engineering foundations of our new environments; designing, implementing and maintaining them as they grow
- Partner closely with the team creating the blueprints for the worlds we need to build
- Close the loop between blueprint and build, enabling fast, iterative research cycles
- Scale the environments up, while utilising state-of-the-art hardware
Qualifications
- Bring industry experience with large-scale simulations, whether in demanding scientific domains or in the games industry
- Know how to build systems like huge distributed MMOs that rely on world parallelism, large-scale physics engines, or logic that preserves consistency despite decentralised computation
- Turn ambitious research visions into reality by designing, building and maintaining codebases that support fast research iteration and efficient execution
- Enjoy working closely with researchers and/or designers, taking their blueprints and turning them into worlds that agents can explore and learn
- Physics engines
- GPU-accelerated physics and simulation frameworks, such as NVIDIA Warp
- Lower level languages such as Rust, C or C++
- Implementation of distributed server-client architectures
- Writing efficient GPU code
Skills
Required:Large-scale simulationsDistributed systemsPhysics enginesLow-level programming
Nice to have:GPU-accelerated simulation
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Ineffable Intelligence
Making first contact with superintelligence
Ineffable Intelligence is an AI research company whose mission is to make first contact with superintelligence.
AI researchsuperlearnerreinforcement learningsuperintelligence
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