Hewlett Packard Enterprise
edge-to-cloud
ArtificialIntelligenceEngineer(f/m/d)DualStudyConversion
“Artificial Intelligence Engineer (f/m/d) Dual Study Conversion at Hewlett Packard Enterprise. Skills: AI/ML, HPC, deep-learning frameworks, software engineering. Design AI/ML models. develop data pipelines”
What You'll Achieve.
maximize system performance; optimize workflows; drive joint research and engineering projects; productise models; accelerate workflows; co-develop scalable AI solutions; deliver cost effective, high-quality AI solutions
Industry & Context.
analytical and problem-solving skills; identify, debug, and remediate performance or correctness issues
two days per week office presence at HRLS
What They're Looking For.
Must Have
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, hands-on work with large-scale model training and inference, Proficiency with deep-learning frameworks (PyTorch, TensorFlow, JAX), HPC toolchains (MPI, Slurm), containerization (Docker, Singularity), model optimization libraries (e.g. , ONNX, NVIDIA/TensorRT), analytical and problem-solving skills, experience in performance profiling, debugging, and optimization on accelerators, Familiarity with software engineering best practices: version control, CI/CD, testing methodologies, and reproducible workflows, Excellent written and verbal communication skills, Collaborative mindset, ability to present technical proposals, negotiate implementation options across multi-disciplinary teams
Nice to Have
German proficiency desirable, Contributions to open-source ML/HPC projects, published research in AI/HPC
What You'll Do.
develop data pipelines
design inference/training workflows
Optimize deep-learning frameworks
optimize models for HPC
Translate research prototypes
execute testing plans
Produce technical documentation
run knowledge-transfer sessions
How You'll Work.
Team & Collaboration
collaborate closely with customers; Work with HLRS researchers; Work with HPE teams; Collaborate as a core member of cross-functional project teams; communicate project status; communicate design proposals
Communication Scope
Excellent written and verbal communication skills; communicate project status; communicate design proposals
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