About the company
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Responsibilities
- Adapt YDB to leverage modern hardware to its fullest potential: QLC NVMe drives, Dual 800Gb/s network adapters, BlueField DPUs
- Maximize performance on widely used devices such as HDDs and TLC NVMe
- Reengineer YDB components with more efficient algorithms to solve complex system challenges
Requirements
- 5+ years of experience in C/C++ programming for highly loaded systems
- Understanding of core dumps, flamegraphs, and sanitized builds
- Experience developing high-performance, low-latency components
- Understanding of CPU caches, Modern CPU atomic operations and NUMA architectures
Nice to Have
- Experience with on-disk data structures (LSM trees, B+ trees)
- Hands-on experience with debugging and profiling tools such as perf, VTune, bpftrace, gdb
- Knowledge of storage-related algorithms (erasure coding, checksumming)
- Understanding of storage device internals (NVMe, HDD)
- Familiarity with Linux kernel, SPDK/DPDK, libaio, io_uring
- Knowledge of networking concepts and protocols (IP, TCP, UDP, DNS, ideally InfiniBand, RoCE/RDMA)
- Experience with Kubernetes and Grafana
- Track record of active participation in incident resolution
- Experience designing production-grade distributed storage components
- Knowledge of availability and durability calculations
Conditions
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams