About the role

The role involves researching and developing advanced technologies in data-centric and trustworthy AI, including agentic workflows and generative AI model materialization. The engineer will also manage metadata and lineage for AI pipelines to ensure reproducibility, optimization, and high-quality data usage across various AI applications.

What they look for

Python C/C++ Machine learning Deep learning Generative AI Large language models Data engineering MLOps Pytorch Tensorflow Kubeflow Data management Natural language processing Computer vision Time series analysis GPU acceleration

Requirements

Candidates must hold a PhD in Computer Science or a related field with a focus on data engineering, machine learning, or deep learning. Strong programming proficiency in Python and C/C++ is required, along with a demonstrated track record of innovative research and publications.

Benefits

Health and wellbeing support Personal and professional development programs Inclusive work environment

Full description

AI Data Foundation Research Engineer

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:

Role and Responsibilities

We are seeking candidates interested in research and development of advanced technologies in Data-centric and Trustworthy AI, including data and knowledge context retrieval, filtering, prioritization, agentic memory management, generative AI model materialization, advanced reasoning and validation, to improve quality of AI agentic workflows. Successful candidates will also work on development of capture, management, search, enhancement and interpretation of meta-data and lineage for AI pipelines that enable reproducibility, reuse and optimization of pipelines; discovery, selection and usage of relevant high quality data for trustworthy AI outcomes across multiple AI applications; development, evaluation and testing of Foundation AI models for different modalities: Natural Language Processing - NLP, Large Language Models - LLM, Time Series Analysis, Computer Vision, AI for Science, etc., and augmentation of AI models with structured knowledge (i.e., knowledge infused learning). We are particularly interested in individuals with a background in computer systems, machine learning, deep learning, statistics, generative AI, data management, and big data pipelines, with good understanding of the current state of the art, major trends and opportunities, and a demonstrated track record in innovative research. The ideal candidate can thrive in an applied research environment, balancing significant technical contributions published externally in open source with the hands-on engineering skill to bring such contributions to practice in partnering with our internal software development teams and external partners.

Qualifications and Education Requirements

PhD in Computer Science or related fields with a focus on data engineering and data science, in particular Machine Learning, Deep Learning, and/or data management for AI.

Preferred Skills

Familiarity with AI, Machine Learning and Deep Learning algorithms
Experience with Generative AI: Large Language Models, Time Series Foundation Models, Diffusion Models, etc.
Experience with agentic AI platforms (e.g., LangGraph, CrewAI, ADK, etc.)
Experience in AI model development lifecycle, ML/deep learning frameworks and MLOps platforms (e.g. Pytorch/Tensorflow, MLFlow, Kubeflow)
Expertise with end-to-end pipelines for AI and Machine Learning and in particular the data layer underlying the pipelines (e.g., DVC, Pachyderm, Common Metadata Framework)
Strong programming skills in Python, C/C++, with high proficiency in data structures and algorithms
Experience with CI/CD code development
Outstanding analytical and problem solving skills
Demonstrated track record in innovative research supported by conference and/or journal publications
Experience in deep learning research, GPU acceleration, and Model Optimization – a plus
Expertise in research of data and workflow management systems – a plus
Experience in system software performance and scalability optimization – a plus
Experience with multi-threaded programming, parallel processing, OOD/OOP/distributed programming – a plus
Experience in containerized development and orchestration tools (e.g. Kubernetes, Ezmeral) – a plus

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.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job:

EngineeringJob Level:

TCP_03

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

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