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