Careers
Build the open compute network with us.
We're a small, technical, remote-first team solving hard coordination problems. If that sounds interesting, we should talk.
Why OpenGPU
Work that matters, with people who care.
Remote-first
Work from anywhere. Most roles are open worldwide.
Depth over credentials
We care about what you can build, not where you studied.
Real ownership
Small team, big surface area. Your work ships to a live network.
Open roles
Open roles.
Remote-first roles. Applications are reviewed by the team, not recruiters.
Frontend DeveloperEngineering · Remote · Full-time
We're OpenGPU. We build decentralized GPU infrastructure for AI — and yes, we care a lot about good UI. We're looking for a Senior Frontend Developer who genuinely cares about how things look, feel, and work.
Responsibilities
- Build and maintain our web applications
- Collaborate with designers to implement pixel-perfect UIs
- Optimize application performance
- Write clean, maintainable code
Requirements
- 5+ years of experience with React/Next.js
- Strong understanding of TypeScript
- Experience with responsive design and CSS-in-JS
- Eye for detail and passion for great UI/UX
- Experience with Web3/blockchain is a plus
Benefits
- Competitive salary
- Remote-first culture
- Flexible working hours
Software DeveloperEngineering · Remote · Full-time
We're OpenGPU. We don't build AI models (yet). We build a decentralized infrastructure that runs them. We're looking for a software engineer who understands AI well enough to integrate it — and loves building the systems around it more than the models themselves.
Responsibilities
- Design and implement backend services
- Integrate AI models into our infrastructure
- Build APIs and developer tools
- Optimize system performance and reliability
Requirements
- Strong backend development experience (Go, Rust, or Python)
- Understanding of distributed systems
- Familiarity with AI/ML workflows and deployment
- Experience with containerization (Docker, Kubernetes)
- Blockchain/Web3 experience is a plus
Benefits
- Competitive salary
- Remote-first culture
- Flexible working hours
AI/ML EngineerEngineering · Remote · Full-time
This one's different. We need someone who can solve problems with ML, not just deploy existing models. OpenGPU protocol deals with complex and unconventional coordination problems and these need intelligent agents, not just conditional logic.
Responsibilities
- Design intelligent agents for coordination problems
- Build ML models for resource allocation and optimization
- Research and implement novel solutions
- Collaborate with the protocol team
Requirements
- Strong ML/AI fundamentals
- Experience building and training models from scratch
- Proficiency in Python and ML frameworks (PyTorch, TensorFlow)
- Experience with agent-based systems
- Research background is a plus
Benefits
- Competitive salary
- Remote-first culture
- Flexible working hours
Teams
Where you could fit.
Core engineering
Routing, scheduling, verification and the Provider Suite.
Product & design
Relay, Relay Studio, the Client App and Management App.
Security
Isolation, verification and infrastructure hardening.
Operations
Provider onboarding, support and reliability.
Community & ecosystem
Providers, developers and partners around the world.
Business development
Enterprise customers, pilots and partnerships.
No open role that fits? Send us your profile anyway at [email protected]
FAQ
Hiring questions.
How do I apply?
Send your CV or portfolio to [email protected] with the role you are interested in. Applications are reviewed by the team, not recruiters.
Is OpenGPU fully remote?
Yes. OpenGPU is remote-first. Most roles are open to candidates worldwide and do not require relocation.
What types of roles do you hire for?
Core engineering, product and operations, community and ecosystem, security, design and business development. We value depth of craft regardless of credentials.
Full-time or contract?
Full-time, part-time and contract engagements, depending on the role.
How long does the process take?
Lean and direct. Promising applications are reviewed within two weeks, followed by a short series of technical and team conversations.