AI Networking Intern, Network Transport

About the Role

Hybrid role, requiring an average of 2 days per week in an HPE office.

Key Responsibilities

• Develop software components for high-performance network telemetry.
• Implement telemetry ingestion, packet decoding, validation, and normalization functions.
• Design and develop data persistence and telemetry analytics capabilities.
• Create tools to reconstruct network paths and calculate per-hop latency and congestion metrics from telemetry reports.
• Develop operational monitoring, health metrics, and visualization capabilities.
• Participate in testing, debugging, performance characterization, and validation of telemetry collection systems.
• Collaborate with networking, switch, software, and architecture teams to define and verify telemetry requirements and workflows.

Requirements & Tech Stack

• Python, C++, or similar programming languages.
• Coursework or project experience in computer networking, operating systems, distributed systems, databases, or software engineering.
• Demonstrated ability to design, debug, and test complex software systems.
• Proficiency with Python; C++, or Rust experience is a plus.
• Ability to analyze packet-level network data and troubleshoot protocol behavior.
• Experience using Linux development and diagnostic tools.
• Ability to work with APIs, databases, and telemetry data pipelines.
• Strong analytical and problem-solving capabilities.
• Effective verbal and written communication skills.
• Familiarity with Linux operating environments and software development tools.

Knowledge

• Understanding of networking fundamentals, including Ethernet, TCP/IP, UDP, routing, and switching.
• Familiarity with packet structures, protocol analysis, and packet capture tools.
• Knowledge of telemetry, monitoring, observability, or network analytics concepts.
• Understanding of data storage, databases, and data processing pipelines.
• Exposure to HPC, AI infrastructure, large-scale networking, or cloud-native monitoring technologies is a plus.

Qualifications

• Pursuing a Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline.
• Academic, research, or personal projects involving networking, data analytics, telemetry, or distributed systems are desirable.