Platform/System Validation Engineer, RDMA

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

📋 Description

• Configure, troubleshoot, and sustain NVIDIA/Mellanox Spectrum switches and ConnectX Network Interface Cards (NICs).

• Implement and fine-tune congestion control mechanisms for AI workloads, such as RoCEv2, Priority-based Flow Control (PFC), and Explicit Congestion Notification (ECN).

• Optimize network environments to achieve maximum throughput, reduced latency, and minimized Job Completion Time (JCT) through effective setup tuning.

• Conduct performance benchmarking and validation testing on AI-ready data center fabrics utilizing RDMA and the NVIDIA Collective Communication Library (NCCL).

• Employ AI agents and specialized tools to automate routine network tasks, carry out testing, and analyze network telemetry.

• Create and maintain technical documentation that encompasses network designs, configurations, and benchmarking outcomes.

• Collaborate as part of an Agile project team in a startup setting catering to a US-based client.

⛳️ Requirements

• Over 7 years of professional experience in network engineering.

• Ideally, more than 3 years concentrated on data center network design and architecture.

• Practical experience in configuring and troubleshooting BGP, EVPN/VXLAN, LACP, and ECMP.

• Profound understanding and practical experience with AI-centric data center designs, including Rail-Optimized Design (ROD) and Rail-Unified Design (RUD) topologies.

• Proven experience in configuring, managing, and troubleshooting NVIDIA/Mellanox Spectrum switches and ConnectX Network Interface Cards (NICs).

• In-depth knowledge of RoCEv2, Priority-based Flow Control (PFC), and Explicit Congestion Notification (ECN).

• Experience in tuning and optimizing network environments, including switch buffer tuning and Quality of Service (QoS) policies.

• Track record of conducting performance benchmarking and validation for AI-ready data center fabrics using RDMA and the NVIDIA Collective Communication Library (NCCL).

• Capability to utilize AI agents/tools for task automation, testing, and analysis.

• Strong skills in technical documentation and proficient communication in professional English.

• Professional-level certifications (CCNP/CCIE Enterprise/DC, JNCIP or equivalent) — preferred.

• Practical experience with network automation and validation frameworks (pyATS, NAPALM, Batfish, Nornir, NetBox) — preferred.

• Familiarity with CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins) and Infrastructure as Code (IaC) concepts — preferred.

🏝️ Benefits

• Flexible working hours and a versatile approach to work: fully remote, in-office, or hybrid.

• Professional development supported by internal training sessions and a dedicated training budget.

• Comprehensive onboarding with a hands-on methodology.

• A positive environment among professionals who are enthusiastic about their work.

• The opportunity to switch projects as desired.