Senior RDMA Performance Engineer

atCodiLimeRemotePL flagPolandFreelanceEngineerSeniorPLN 22k – PLN 30k/month

Posted Oct 5

This is a fully remote position, open to applicants in Poland.

πŸ“‹ Description

β€’ Configure, troubleshoot, and maintain NVIDIA/Mellanox Spectrum switches along with ConnectX Network Interface Cards (NICs).

β€’ Implement and optimize RoCEv2, Priority-based Flow Control (PFC), and Explicit Congestion Notification (ECN) specifically for AI workloads.

β€’ Enhance network environments to achieve maximum throughput, minimal latency, and reduced Job Completion Time (JCT).

β€’ Perform performance benchmarking and validation testing on AI-ready data center fabrics utilizing RDMA and the NVIDIA Collective Communication Library (NCCL).

β€’ Employ AI agents and specialized tools to automate routine network tasks, conduct testing, and analyze network telemetry.

β€’ Create and maintain technical documentation that details network designs, configurations, and benchmarking outcomes.

β€’ Collaborate as part of an Agile project team in a startup atmosphere, contributing to a project for a US client.


⛳️ Requirements

β€’ Over 7 years of professional experience in network engineering.

β€’ Ideally, 3 or more years specifically focused on data center network design and architecture.

β€’ Practical experience in configuring and troubleshooting BGP, EVPN/VXLAN, LACP, and ECMP.

β€’ In-depth knowledge of AI-focused data center designs, including Rail-Optimized Design (ROD) and Rail-Unified Design (RUD) topologies, with hands-on configuration and deployment experience.

β€’ Demonstrated experience in configuring, managing, and troubleshooting NVIDIA/Mellanox Spectrum switches and ConnectX Network Interface Cards (NICs).

β€’ Comprehensive understanding of RoCEv2, Priority-based Flow Control (PFC), and Explicit Congestion Notification (ECN).

β€’ Experience in tuning switch buffers and implementing Quality of Service (QoS) policies.

β€’ Background in conducting performance benchmarking and validation for AI-ready data center fabrics using RDMA and NVIDIA Collective Communication Library (NCCL).

β€’ Ability to utilize AI agents/tools for task automation, testing, and analysis.

β€’ Strong skills in technical documentation and professional communication in English.

β€’ Professional-level certifications such as CCNP/CCIE Enterprise/DC, JNCIP, or equivalent are advantageous.

β€’ Hands-on experience with tools like pyATS, NAPALM, Batfish, Nornir, or NetBox is a plus.

β€’ Familiarity with GitLab CI, GitHub Actions, Jenkins, and infrastructure-as-code concepts is a bonus.


🏝️ Benefits

β€’ Flexible working hours and options for remote, in-office, or hybrid work arrangements.

β€’ Opportunities for professional growth supported by internal training sessions and a dedicated training budget.

β€’ Comprehensive onboarding with a hands-on approach to ensure a smooth start.

β€’ A positive work environment among professionals who are passionate about their careers.

β€’ The chance to switch projects as desired.

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