Software Intern - Bachelor's / Master's

Software Intern - Bachelor's / Master's

This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office.

Who We Are:

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.

Job Description:

Job Family Definition:

Students pursuing a Master's degree in Computer Science or AI related fields .

Assists in various tasks aligned with their field of study, including research, collaboration on team initiatives and projects, problem-solving, and creative thinking to gain hands-on experience and develop professional skills.

Includes internships, research roles, visiting scholar positions, or other program-related opportunities.

Responsibilities


* Assist in designing and developing features for AI‑enabled applications .


* Support integration of AI/ML models into software workflows (inference, prompts, evaluation hooks).


* Help build and validate data preparation / lightweight pipelines for experiments and application needs.


* Write unit tests, reproduce issues, and debug defects in AI application components.


* Contribute to documentation, demos, and team collaboration through code reviews and regular updates.

Education


* Students pursuing a Master's degree in Computer Science or AI related fields.

Knowledge & Skills


* Solid fundamentals in computer science (data structures, algorithms, OOP).


* Programming skills in Python with ability to read and modify existing code.


* Basic understanding of AI/ML concepts (training vs inference, metrics, overfitting, datasets).


* Familiarity with Git and standard software engineering practices (branching, PRs, code reviews).


* Ability to troubleshoot using logs, debuggers, and test results; clear written communication.

Desirable


* Exposure to ML/AI frameworks (e.g., PyTorch/TensorFlow, scikit‑learn) and model evaluation.


* Understanding of REST APIs, microservices, and basic cloud concepts (containers is a plus).


* Strong analytical and problem‑solving skills.


* Demonstrated initiative, resourcefulness, and ability to work collaboratively.


* Evidence of leadership (formal/informal) and enthusiasm to learn.

Additional Skills:

What We Can Offer You:

Health & Wellbeing

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