HPC – AI Networking Intern - Network Transport

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next.

We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

• Develop software components for the 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.

• Pursuing a Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline.
• Coursework or project experience in computer networking, operating systems, distributed systems, databases, or software engineering.
• Experience developing software in Python, C++, or similar programming languages.
• Demonstrated ability to design, debug, and test complex software systems.
• Academic, research, or personal projects involving networking, data analytics, telemetry, or distributed systems are desirable.

• 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.
• Familiarity with Linux operating environments and software development tools.
• Exposure to HPC, AI infrastructure, large-scale networking, or cloud-native monitoring technologies is a plus.

• Strong software development and debugging skills.
• 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 and the ability to work in a collaborative engineering environment.

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.

Note:

This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

Accessibility HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified…