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Ineffable Intelligence

Software Engineer, Simulated Universes

London
Posted 1 day ago
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Our Mission

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:

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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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.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

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.

  • 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

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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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Location

London, England, United Kingdom

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