Description

Key Skills: GPU, Network Engineer, AI Engineering, High-speed interface protocols, Ethernet, nvidia

Roles and Responsibilities:

• Design and support InfiniBand and high-speed Ethernet networks for GPU clusters and AI workloads.
• Engineer reliable, low-latency connectivity between GPU systems, storage platforms, and compute nodes.
• Diagnose network bottlenecks, packet loss, congestion, and throughput issues across AI infrastructure.
• Tune network performance for distributed training, inference, and high-volume data-transfer workloads.
• Plan network capacity and improve operational efficiency through automation and standardized engineering practices.

Skills Required:

• 5 - 16 years of relevant experience in network engineering, data center networking, or AI infrastructure.
• Hands-on experience with GPU-based infrastructure and AI networking environments.
• Strong knowledge of Ethernet and high-speed interface protocols used in data center networks.
• Experience engineering scalable, high-performance network connectivity for compute clusters.
• Understanding of AI engineering infrastructure, network performance tuning, and distributed workloads.

Good to Have:

• Experience as a Network Engineer supporting AI or high-performance computing infrastructure.

Education: Bachelor's degree in Computer Science, Information Technology, Electronics, Networking, or a related discipline

Key Skills

Education

Any Graduate