Senior RDMA Performance Engineer

Quick Facts

• Role: Senior RDMA Performance Engineer

• Project focus: SONiC validation on NVIDIA Spectrum-based AI networking platforms

Description

You will join the project team to configure, troubleshoot, and optimize NVIDIA/Mellanox Spectrum switches and ConnectX NICs for AI-ready data center fabrics. You will implement and tune congestion control for RoCEv2, PFC, and ECN, then run RDMA-based performance benchmarking using NCCL. You will automate routine network tasks with AI agents/tools, analyze telemetry, and maintain clear technical documentation.

Responsibilities

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

• Implement and tune congestion control for AI workloads (RoCEv2, PFC, ECN)

• Optimize network setup to achieve maximum throughput, minimal latency, and reduced JCT via setup tuning

• Perform performance benchmarking and validation testing on AI-ready data center fabrics using RDMA and NCCL

• Automate routine tasks and testing/analysis using AI agents and specialized tools; analyze network telemetry

• Author and maintain technical documentation for network designs, configurations, and benchmarking results

Requirements

• 7+ years professional network engineering experience (preferably 3+ years in data center network design/architecture)

• Hands-on experience with BGP, EVPN/VXLAN, LACP, ECMP

• Deep understanding of AI-dedicated data center designs (ROD, RUD) with practical hands-on configuration/deployment

• Proven experience with NVIDIA/Mellanox Spectrum switches and ConnectX NICs

• Deep understanding of RoCEv2 congestion control mechanisms, specifically PFC and ECN

• Experience tuning networks with switch buffer tuning and QoS policies

• Experience benchmarking/validation for AI-ready fabrics using RDMA and NCCL

• Demonstrated ability to use AI agents/tools to automate tasks, testing, and analysis

• Strong technical documentation skills and professional English communication

Benefits

• Flexible working hours; fully remote, office, or hybrid

• Professional growth with internal training and a training budget

• Solid hands-on onboarding

• Supportive team environment

• Ability to change the project you work on