Junior Member of Technical Staff – Platform Infrastructure, GPUs

Your mission

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

Your profile

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

Why us?

• 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
• European mission: Build sovereign, GDPR-compliant AI infrastructure for the next generation of deep-tech