Artificial Intelligence Engineer (f/m/d)

Artificial Intelligence Engineer (f/m/d)

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

About the team

We are part of the HPE HPC & AI Go‑to‑Market organization for EMEA, responsible for bringing supercomputers and AI factories to market and ensuring customer success. Our Center of Excellence for Supercomputers & AI Factories is a compact team of highly skilled experts who collaborate closely with customers to maximize system performance, optimize workflows, and drive joint research and engineering projects.

The role

You will work with the High‑Performance Computing Center Stuttgart (HLRS) to support the deployment and adoption of their HammerHAI factory being delivered this year. The role requires two days per week office presence at HLRS.

Artificial Intelligence (AI) Engineer responsibilities

• Design, implement, and optimize AI/ML components and pipelines for scientific workloads running on HPC and hybrid cloud platforms.
• Work with HLRS researchers and HPE teams to productise models, accelerate workflows on accelerated hardware, and co‑develop scalable AI solutions for HammerHAI use cases.

Key responsibilities

• Design and develop AI/ML models, data pipelines, and inference/training workflows tailored to scientific and engineering applications.
• Optimize deep‑learning frameworks (e.g., PyTorch, TensorFlow, JAX) and models for GPU/accelerator‑based HPC environments, including performance tuning, mixed‑precision, and distributed training.
• Translate research prototypes into robust, maintainable code and containerised deployments; contribute enhancements and integrations for subsystems of end‑user applications.
• Create and execute testing, benchmarking, and validation plans for AI workloads; identify, debug, and remediate performance or correctness issues. Collaborate as a core member of cross‑functional project teams (HLRS researchers, HPE engineers, and external partners) to deliver cost‑effective, high‑quality AI solutions and share best practices.
• Produce technical documentation, run knowledge‑transfer sessions, and communicate project status and design proposals to stakeholders.

Desired qualities

• Good at partnering, innovating, and making things happen? Good start, you are aligned to our core values!

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience).
• 2‑5 years' experience applying AI/ML in a scientific or HPC environment; hands‑on work with large‑scale model training and inference.
• Proficiency with deep‑learning frameworks (PyTorch, TensorFlow, JAX), HPC toolchains (MPI, Slurm), containerisation (Docker, Singularity), and model optimisation libraries (e.g., ONNX, NVIDIA/TensorRT).
• Strong analytical and problem‑solving skills, with experience in performance profiling, debugging, and optimisation on accelerators.
• Familiarity with software engineering best practices: version control, CI/CD, testing methodologies, and reproducible workflows.
• Excellent written and verbal communication skills in English; German proficiency desirable.
• Collaborative mindset, ability to present technical proposals and negotiate implementation options across multi‑disciplinary teams.
• Optional / nice‑to‑have: Contributions to open‑source ML/HPC projects or published research in AI/HPC.

Benefits

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.

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.

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.

Part‑time work or job‑sharing

Part‑time work or job‑sharing is also applicable to this position.

Equal Opportunity Statement

HPE is an Equal Employment Opportunity/Veteran/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are based on 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.

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.

No Fees Notice & Recruitment Fraud Disclaimer

It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammers impersonate HPE or HPE‑authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.