CodiLime
CodiLime
201 – 500 कर्मचारी
B2Bदूरसंचारहार्डवेयर
CodiLime एक सॉफ्टवेयर और नेटवर्क इंजीनियरिंग सेवा कंपनी है, जिसकी स्थापना 2011 में हुई थी। यह नेटवर्किंग हार्डवेयर विक्रेताओं, सॉफ्टवेयर प्रदाताओं, दूरसंचार कंपनियों, प्रौद्योगिकी स्टार्टअप्स और स्थापित उद्योग कंपनियों के साथ काम करती है। इसकी टीमें ग्राहकों को प्रूफ ऑफ कॉन्सेप्ट के माध्यम से विचारों को मान्य करने, नेटवर्क-केंद्रित उत्पाद बनाने और उत्पादन में चल रही प्रणालियों को सहयोग देने में मदद करती हैं। कंपनी की विशेषज्ञता में नेटवर्क ऑटोमेशन, लो-लेवल सिस्टम प्रोग्रामिंग, ऑब्ज़र्वेबिलिटी, DevOps और साइबर सुरक्षा शामिल हैं। इसके प्रोजेक्ट्स का अनुभव अमेरिका, जापान, इज़राइल और यूरोप तक फैला हुआ है। CodiLime का भर्ती संदर्भ B2B प्रौद्योगिकी और दूरसंचार परियोजनाओं के लिए इंजीनियरिंग कार्य पर केंद्रित है।

Senior RDMA Performance Engineer Poland Remote

CodiLime is seeking a senior engineer to optimize NVIDIA AI data center networks through RDMA fabric benchmarking, congestion-control tuning, and performance validation. The role focuses on improving throughput, latency, and job completion time for high-performance workloads.

विवरण

  • Configure, troubleshoot, and maintain NVIDIA/Mellanox Spectrum switches and ConnectX network interface cards.
  • Deploy and tune RoCEv2, Priority-based Flow Control, and Explicit Congestion Notification for AI workloads.
  • Improve network environments to maximize throughput while reducing latency and job completion time.
  • Benchmark and validate AI-ready data center fabrics using RDMA and NVIDIA Collective Communication Library.
  • Apply AI agents and specialized tools to automate network operations, testing, and telemetry analysis.
  • Create and maintain documentation for network architectures, configurations, and benchmark findings.
  • Collaborate with an Agile startup team on a project serving a US client.

आवश्यकताएँ

  • At least seven years of professional network engineering experience.
  • Ideally, at least three years focused on data center network design and architecture.
  • Practical experience configuring and troubleshooting BGP, EVPN/VXLAN, LACP, and ECMP.
  • Strong knowledge of AI-focused data center architectures, including Rail-Optimized Design and Rail-Unified Design topologies, with hands-on deployment experience.
  • Demonstrated ability to configure, operate, and troubleshoot NVIDIA/Mellanox Spectrum switches and ConnectX network interface cards.
  • Advanced knowledge of RoCEv2, Priority-based Flow Control, and Explicit Congestion Notification.
  • Experience tuning switch buffers and applying Quality of Service policies.
  • Experience benchmarking and validating AI-ready data center fabrics with RDMA and NVIDIA Collective Communication Library.
  • Ability to use AI agents and tools for task automation, testing, and analysis.
  • Strong technical writing skills and professional English communication.
  • Professional certifications such as CCNP/CCIE Enterprise or Data Center, JNCIP, or equivalent are desirable.
  • Experience with pyATS, NAPALM, Batfish, Nornir, or NetBox is desirable.
  • Familiarity with GitLab CI, GitHub Actions, Jenkins, and infrastructure-as-code concepts is desirable.

लाभ

  • Flexible working arrangements, with fully remote, office-based, and hybrid options.
  • Professional development through internal training and a dedicated training budget.
  • Structured, hands-on onboarding designed to support a smooth start.
  • A collaborative environment with professionals who are passionate about their work.
  • The opportunity to change projects during your time with the company.

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