Simulated Universes Engineer

Ineffable; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Ineffable is seeking an Engineer for Simulated Universes to help craft, shape and maintain environments where superlearners emerge and learn at scale. You will build foundations, collaborate with researchers, and ensure fast, iterative research cycles through tight blueprint-to-build integration.

You will work with physics engines, GPU-accelerated frameworks, and low-level languages to create scalable, reliable worlds that push the frontier of artificial intelligence research.

Qualifications

• Engineer with a passion for creating artificial worlds at scale.
• Experience with large-scale simulations in scientific or game-like environments.
• Ability to turn ambitious research visions into production-ready code.

Responsibilities

• Build the engineering foundations of new environments, designing, implementing and maintaining them as they grow.
• Partner closely with the team creating the blueprints for the worlds to build.
• Close the loop between blueprint and build, enabling fast, iterative research cycles.
• Scale environments up using state-of-the-art hardware and parallelism.

Skills

Large-scale simulations

Distributed systems

Research-to-production

Collaborative with researchers

Tools

NVIDIA Warp

Rust

C/C++

GPU programming

Job description

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 an Engineer for Simulated Universes, 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.

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