Senior RDMA Performance Engineer
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Job Description
Senior RDMA Performance Engineer validating NVIDIA-based AI data-center networks for CodiLime, a software and network engineering services company. Optimizing RDMA fabrics, congestion control, benchmarking, and automation.
Responsibilities:
- Configure, troubleshoot, and maintain NVIDIA/Mellanox Spectrum switches and ConnectX Network Interface Cards (NICs)
- Implement and tune congestion control mechanisms for AI workloads, including RoCEv2, PFC, and ECN
- Optimize network environments for maximum throughput, minimal latency, and minimal Job Completion Time (JCT)
- Conduct performance benchmarking and validation testing on AI-ready data center fabrics using RDMA and NCCL
- Use AI agents and specialized tools to automate network tasks, testing, and network telemetry analysis
- Author and maintain technical documentation covering network designs, configurations, and benchmarking results
- Work within an Agile, startup-environment project team serving a US-based client
Requirements:
- 7+ years of professional experience in network engineering
- Preferably 3+ years specifically focused on data center network design and architecture
- Hands-on experience configuring and troubleshooting BGP, EVPN/VXLAN, LACP, and ECMP
- Deep understanding of AI-dedicated data center designs, including Rail-Optimized Design (ROD) and Rail-Unified Design (RUD) topologies, with practical experience configuring and deploying them
- Proven experience configuring, managing, and troubleshooting NVIDIA/Mellanox Spectrum switches and ConnectX Network Interface Cards (NICs)
- Deep understanding of RoCEv2, Priority-based Flow Control (PFC), and Explicit Congestion Notification (ECN)
- Ability to tune and optimize network environments, including switch buffer tuning and Quality of Service (QoS) policies
- Experience conducting performance benchmarking and validation for AI-ready data center fabrics using RDMA and NVIDIA Collective Communication Library (NCCL)
- Ability to leverage AI agents/tools to automate tasks, testing, and analysis
- Strong technical documentation skills and professional English communication
- Professional-level certifications such as CCNP/CCIE Enterprise/DC, JNCIP or equivalent are nice-to-haves
- Hands-on experience with pyATS, NAPALM, Batfish, Nornir, or NetBox is nice-to-have
- Exposure to GitLab CI, GitHub Actions, Jenkins, and IaC concepts is nice-to-have
Benefits:
- Flexible working hours and approach to work: fully remotely, in the office or hybrid
- Professional growth supported by internal training sessions and a training budget
- Solid onboarding with a hands-on approach
- A great atmosphere among professionals who are passionate about their work
- The ability to change the project you work on
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