Senior RDMA Performance Engineer
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Job Description
RDMA Performance Engineer optimizing NVIDIA AI data center networks for CodiLime, a software and network engineering services company. Benchmarking RDMA fabrics and tuning congestion control for high-performance workloads.
Responsibilities:
- Configure, troubleshoot, and maintain NVIDIA/Mellanox Spectrum switches and ConnectX Network Interface Cards (NICs)
- Implement and tune RoCEv2, Priority-based Flow Control (PFC), and Explicit Congestion Notification (ECN) for AI workloads
- 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 NVIDIA Collective Communication Library (NCCL)
- Use AI agents and specialized tools to automate routine network tasks, perform testing, and analyze network telemetry
- Author and maintain technical documentation covering network designs, configurations, and benchmarking results
- Work as part of an Agile project team in a startup environment on a US-client project
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 hands-on configuration and deployment experience
- 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)
- Experience tuning switch buffers and implementing 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 a nice-to-have
- Exposure to GitLab CI, GitHub Actions, Jenkins, and infrastructure-as-code concepts is a 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 to give you an easy start
- A great atmosphere among professionals who are passionate about their work
- The ability to change the project you work on
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