HPC AI Networking Intern, Network Transport

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.

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Job Description: Responsibilities 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. Education and Experience 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.

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.

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.

, Skills 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. Accessibility 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. What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

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We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates #interns Job: Administration Job Level: N/A "The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.

– United States of America: Hourly Salary USD 35.00 - 41.00 in Colorado // 35.00 - 41.00 in Wisconsin The listed salary range reflects base salary. Variable incentives may also be offered.

" Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html The estimated job application period closure is May 25 2027; this timeline is provided for transparency and internal planning purposes.

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