ReDX Technologies
TunisiaPublished: 5 May 2026
Explainable Network Topology Recommender for the HPC Cluster Configurator
- Internship
- 2-3 months
- On-site
- Paid
- Deadline: 19 May 2026
- HPC
- Computer networking
- Explainable AI (XAI)
- IT Consulting / Software Engineering
Job description
Brief: Build an explainable recommender inside the HPC Cluster Configurator focused on Fat-Tree/leaf-spine network topologies for HPC/GPU clusters.
Goals and tasks:
- Model network topologies; design input schema (nodes, NICs per node, link speed, switch ports, target oversubscription).
- Compute port usage, uplink/downlink bandwidth, scalability, oversubscription.
- Validate configurations; rank suitable options; generate clear, user-facing explanations.
- Prepare test sets and document formulas, assumptions, and limitations.
Profile/skills:
- Strong Python; knowledge of AI/LLM prompting or explainable recommendation; basic networks knowledge; interest in HPC; good documentation skills.
- Nice-to-have: Fat-Tree/Clos, InfiniBand/Ethernet/RDMA, REST APIs, basic frontend integration.
Duration & perks:
- Target: students entering final year.
- Period: 2–3 months.
- Paid: Monthly stipend.