CodiLime
CodiLime
201 – 500 Angajați
B2BHardwareTelecomunicații
CodiLime este o companie de servicii de inginerie software și inginerie de rețele, fondată în 2011, care colaborează cu furnizori de hardware pentru rețele, furnizori de software, companii de telecomunicații, startupuri tehnologice și companii consacrate din industrie. Echipele sale ajută clienții să valideze idei prin demonstrații de fezabilitate, să dezvolte produse axate pe rețele și să ofere suport pentru sisteme aflate în producție. Competențele companiei includ automatizarea rețelelor, programarea sistemelor de nivel scăzut, observabilitatea, DevOps și securitatea cibernetică, cu experiență în proiecte din Statele Unite, Japonia, Israel și Europa. Contextul recrutării la CodiLime se concentrează pe activități de inginerie pentru proiecte de tehnologie și telecomunicații B2B.

Senior RDMA Performance Engineer — Poland Remote

Senior RDMA Performance Engineer role at CodiLime, focused on optimizing NVIDIA AI data-center fabrics for US-based clients. The position covers RDMA benchmarking, congestion-control tuning, and network performance engineering.

Descriere

  • 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 high throughput, low latency, and reduced Job Completion Time (JCT)
  • Run performance benchmarks and validation tests on AI-ready data-center fabrics using RDMA and NVIDIA Collective Communication Library (NCCL)
  • Use AI agents and specialized tools to automate network tasks, perform testing, and analyze network telemetry
  • Create and maintain technical documentation for network designs, configurations, and benchmarking results
  • Collaborate within an Agile project team in a startup environment serving a US-based client

Cerințe

  • At least 7 years of professional network-engineering experience
  • Preferably 3 or more years focused on data-center network design and architecture
  • Hands-on experience configuring and troubleshooting BGP, EVPN/VXLAN, LACP, and ECMP
  • Deep knowledge of AI-dedicated data-center designs, including Rail-Optimized Design (ROD) and Rail-Unified Design (RUD) topologies, with practical configuration and deployment experience
  • Experience configuring, managing, and troubleshooting NVIDIA/Mellanox Spectrum switches and ConnectX Network Interface Cards (NICs)
  • Deep knowledge of RoCEv2, Priority-based Flow Control (PFC), and Explicit Congestion Notification (ECN)
  • Ability to tune and optimize network environments, including switch buffers and Quality of Service (QoS) policies
  • Experience benchmarking and validating AI-ready data-center fabrics with RDMA and NVIDIA Collective Communication Library (NCCL)
  • Ability to use AI agents and tools for task automation, testing, and analysis
  • Strong technical-writing skills and professional English communication
  • Professional-level certification such as CCNP/CCIE Enterprise or Data Center, JNCIP, or equivalent preferred
  • Hands-on experience with network automation and validation frameworks such as pyATS, NAPALM, Batfish, Nornir, or NetBox preferred
  • Exposure to CI/CD pipelines, including GitLab CI, GitHub Actions, or Jenkins, and infrastructure-as-code concepts preferred

Beneficii

  • Flexible working arrangements, including fully remote, office-based, or hybrid work
  • Professional development through internal training sessions and a training budget
  • Structured, hands-on onboarding to support a smooth start
  • A collaborative environment with professionals who are passionate about their work
  • The opportunity to change projects

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