Member of Technical Staff, Platform

Ineffable Intelligence; Greater London; Sur place; GBP 90 000 - 120 000; Plein temps

Résumé du poste

Ineffable Intelligence in London is seeking a foundational Platform Engineer to shape the infrastructure of our superlearner platform. This role will own scalable GPU compute, container orchestration, and the tooling that speeds research.

You'll craft resilient cloud infrastructure, optimize developer environments, and write clean Python and Rust that others love to rely on. This is a chance to define a new paradigm in AI research.

Qualifications

• Experience deploying and managing Kubernetes clusters at scale.
• Strong knowledge of containerization, scheduling, and GPU workflows.
• Proficiency with Python and Rust.
• Experience with cloud providers (Google Cloud preferred).

Responsabilités

• Own and evolve platform infrastructure, enabling scalable GPU compute.
• Manage Kubernetes clusters and internal tooling deployments.
• Design fault-tolerant systems to reduce cluster-scale outages.
• Improve observability and monitoring for experimentation.
• Collaborate on redefining AI platform architecture.
• Drive development environments with fast, reliable tooling.

Connaissances

Kubernetes

GPU scheduling

Cloud infrastructure

Observability

Developer environments

Python

Rust

Outils

KAI scheduler

Kueue

Google Cloud

Grafana

Datadog

Tailscale

Workbrew

dev containers

Description du poste

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

As a foundational hire on the platform team, you'll be joining at a point where individual decisions shape how the platform is designed, not just maintained. This isn't a role where you inherit someone else's architecture, you'll be one of the people defining it.

We're pushing these learning methods to a scale that hasn’t been tried before and we care deeply about the infrastructure that gets us there. You'll own the infrastructure that the mission depends on; keeping large-scale GPU compute reliable, developer environments fast and the whole platform humming.

This is an opportunity for someone who wants to be a part of defining a new paradigm in AI and wants their work to directly speed up the experimentation and progress of our ambitious research.

This is a broad role, and the list below is non-exhaustive. You’ll be empowered to shape the role how you’d like in order to best enable our mission.

• Kubernetes and containers: manage clusters and deploy internal tools
• GPU scheduling at scale: hands-on with tools like KAI scheduler and Kueue to keep thousands of GPUs busy and productive
• Making large-scale infrastructure resilient: get to the root of hardware failures and cluster-scale chaos, building the systems that prevent them from recurring
• Cloud infrastructure: experience on Google Cloud and other major providers
• Observability that actually helps: log management and monitoring with tools like QuickWit, Grafana or Datadog
• Developer environments people love: tooling like Tailscale, Workbrew and dev containers that make everyone's day-to-day faster
• Clean, well-crafted code: e.g. Python and Rust for tools and infrastructure that are a joy to build on

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.