Junior Member of Technical Staff Platform Infrastructure, GPUs

Work with our team on designing and building a GPU platform for 10,000+ users. You'll tackle problems across cold-start times, performance, scalability, robustness, and security - at a scale where naive approaches break and every design decision matters.

Your focus

-              Platform development: Build and improve core platform services in Go and Python: the systems that allocate, schedule, and manage GPU resources for our customers.

-              Performance and reliability: Profile, benchmark, and optimise critical paths. Investigate and fix issues in production.

Your KPIs

-              Code shipped and components owned

-              Time-to-resolution on assigned issues

-              Ramp speed and expanding scope of ownership over time

We consider candidates from diverse backgrounds, with a deep love for technical challenges and the desire to take on ownership beyond what's reasonably expected.

Requirements

-              0-2 years of work experience in a technical environment (internships count)

-              Strong proficiency in Go and/or Python

-              Comfortable working in Linux environments

-              Genuine interest in infrastructure, distributed systems, or performance engineering

-              High agency

Nice to have

-              PhD or publications in large-scale systems, distributed computing, or related fields

-              Competition track record — olympiads, ICPC, Kaggle, top-100 in anything

-              Contributions to open-source infrastructure projects

-              Experience with Kubernetes, container runtimes, or GPU tooling

-              Familiarity with networking, storage, or virtualisation at a systems level

-              Outstanding team: Work with some of the best engineers in the world, coming from hedge funds, big tech, AI startups and top universities.

-              Once in a lifetime opportunity: Early-stage company in the fastest-growing market in the world

-              Ownership: Shape how European AI companies access GPU compute