Looking for Distributed Systems / GPU Infrastructure Engineer, Hybrid, United States
- Experience : 2-4 years
We are looking for a Distributed Systems / GPU Infrastructure Engineer to help architect and scale the core infrastructure behind the CapaCloud decentralized GPU network.
You will work on GPU orchestration, node infrastructure, distributed computing systems, workload scheduling, performance optimization, and platform reliability.
This is a high-impact engineering role for someone passionate about building the next generation of decentralized AI infrastructure.
Required Skills & Experience
- Strong experience with distributed systems and backend infrastructure
- Experience with Kubernetes, Docker, and container orchestration
- Strong Linux systems administration knowledge
- Experience with GPU infrastructure and CUDA environments
- Proficiency in Go, Rust, Python, or similar backend languages
- Experience with cloud infrastructure platforms
- Understanding of networking, virtualization, and load balancing
- Experience building scalable APIs and infrastructure services
- Familiarity with monitoring tools and observability stacks
- Strong debugging and performance optimization skills
Nice To Have
- Experience in decentralized infrastructure or Web3
- Experience with AI/ML infrastructure
- Bare-metal infrastructure experience
- Experience with distributed storage systems
- Knowledge of peer-to-peer networking systems
- Open-source contributions
Check more details and apply : https://peerlist.io/company/capa_cloud/careers/distributed-systems--gpu-infrastructure-engineer/jobhnn7eamembqejafnpj8oj6ne7og?utm_source=reddit