Our mission is to make first contact with superintelligence.
We are creating a superlearner that discovers all knowledge from its own experience, from elementary motor skills through to profound intellectual breakthroughs. This superlearning capability - the ability to endlessly discover knowledge and skills, without relying on human data - will be driven by the world’s most powerful reinforcement learning algorithms.
The superlearner is expected to rediscover and then transcend the greatest inventions in human history, such as language, science, mathematics and technology. If successful, this will represent a scientific breakthrough of comparable magnitude to Darwin: where his law explained all life, our law will explain and build all intelligence.
Role brief
Intelligence cannot emerge in a void. It needs a place to grow and flourish. As a Simulated Universes Engineer, you’ll help us craft, shape and maintain the worlds in which superlearners can emerge and thrive. That means making those worlds accurate, reliable and intricate, and scaling them to unprecedented highs in terms of both parallelism and speed. It’s a challenging quest and one that’s critical to our mission. In this role, you will:
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
About you
You’re an engineer with a passion for creating artificial worlds, and you know what it takes to make them emerge at scale. You may be a good fit if you:
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
On the pure engineering side, you’ll likely have experience with the following:
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
We move fast, give people real ownership and trust engineers to make good judgment calls. We are a team that cares as much about doing this well as doing it fast.
If you're interested in joining Ineffable and think your skills would be better suited to a different position please explore the careers page for other opportunities.