Platform/System Validation Engineer, RDMA

🔥 5 minutes ago

🇵🇱 Poland – Remote

💵 zł22k - zł30k / month

⏳ Contract/Temporary

🟠 Senior

🔴 Lead

👷🏻‍♀️ Engineer

👻 Ghost score 1%

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Logo of CodiLime

CodiLime

201 - 500 employees

Founded 2011

🤝 B2B

📡 Telecommunications

🔧 Hardware

B2B • Telecommunications • Hardware

CodiLime is a software and network engineering services company that partners with networking hardware vendors, software providers, and telecommunications firms to create proofs-of-concept, develop new products, and support production environments. Founded in 2011 and grown to 300+ employees, the company specializes in network automation, low-level systems programming, observability, DevOps, and cybersecurity, serving clients worldwide (US, Japan, Israel, Europe). CodiLime primarily operates as a B2B service provider to tech startups and large industry players.

📋 Description

• 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, Priority-based Flow Control (PFC), and Explicit Congestion Notification (ECN) • Optimize network environments for maximum throughput, minimal latency, and minimal Job Completion Time (JCT) through setup tuning • Conduct performance benchmarking and validation testing on AI-ready data center fabrics using RDMA and the 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 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 and hands-on experience with AI-dedicated data center designs, including Rail-Optimized Design (ROD) and Rail-Unified Design (RUD) topologies • 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 and optimizing 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 the 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 (CCNP/CCIE Enterprise/DC, JNCIP or equivalent) — nice-to-have • Hands-on experience with network automation and validation frameworks (pyATS, NAPALM, Batfish, Nornir, NetBox) — nice-to-have • Exposure to CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins) and IaC concepts — 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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