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Artificial Intelligence Engineer(m/w/x)
Designing and optimizing components for scientific machine learning workloads on hybrid cloud platforms, accelerating workflows on specialized hardware. Experience applying artificial intelligence in scientific environments, deep-learning frameworks, and high-performance computing proficiency required. Flexible work schedule.
Requirements
- Degree in Computer Science or related field
- Experience applying AI/ML in scientific environments
- Proficiency with deep-learning frameworks and HPC
- Strong analytical and problem-solving skills
- Familiarity with software engineering best practices
- Excellent communication skills in English
- Collaborative mindset and technical presentation ability
- Optional open-source ML/HPC project contributions
- Accountability, active learning, and critical thinking
Tasks
- Design and optimize AI/ML components for scientific workloads
- Implement pipelines for HPC and hybrid cloud platforms
- Productize models with researchers and engineering teams
- Accelerate workflows on specialized hardware
- Co-develop scalable AI solutions for HammerHAI use cases
- Develop inference and training workflows for engineering applications
- Optimize deep-learning frameworks for GPU-based environments
- Perform performance tuning and distributed training
- Translate research prototypes into robust containerized deployments
- Contribute enhancements to end-user application subsystems
- Execute benchmarking and validation plans for AI workloads
- Identify and remediate performance or correctness issues
- Collaborate with cross-functional teams to deliver AI solutions
- Produce technical documentation and design proposals
- Lead knowledge-transfer sessions and communicate project status
Work Experience
- 2 - 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- PyTorch
- TensorFlow
- JAX
- MPI
- Slurm
- Docker
- Singularity
- ONNX
- NVIDIA/TensorRT
Benefits
Flexible Working
- Flexible work schedule
Other Benefits
- Comprehensive benefits suite
- Financial wellbeing support
Healthcare & Fitness
- Physical wellbeing support
Mental Health Support
- Emotional wellbeing support
Learning & Development
- Career development programs
Informal Culture
- Inclusive work environment
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Artificial Intelligence Engineer(m/w/x)
Designing and optimizing components for scientific machine learning workloads on hybrid cloud platforms, accelerating workflows on specialized hardware. Experience applying artificial intelligence in scientific environments, deep-learning frameworks, and high-performance computing proficiency required. Flexible work schedule.
Requirements
- Degree in Computer Science or related field
- Experience applying AI/ML in scientific environments
- Proficiency with deep-learning frameworks and HPC
- Strong analytical and problem-solving skills
- Familiarity with software engineering best practices
- Excellent communication skills in English
- Collaborative mindset and technical presentation ability
- Optional open-source ML/HPC project contributions
- Accountability, active learning, and critical thinking
Tasks
- Design and optimize AI/ML components for scientific workloads
- Implement pipelines for HPC and hybrid cloud platforms
- Productize models with researchers and engineering teams
- Accelerate workflows on specialized hardware
- Co-develop scalable AI solutions for HammerHAI use cases
- Develop inference and training workflows for engineering applications
- Optimize deep-learning frameworks for GPU-based environments
- Perform performance tuning and distributed training
- Translate research prototypes into robust containerized deployments
- Contribute enhancements to end-user application subsystems
- Execute benchmarking and validation plans for AI workloads
- Identify and remediate performance or correctness issues
- Collaborate with cross-functional teams to deliver AI solutions
- Produce technical documentation and design proposals
- Lead knowledge-transfer sessions and communicate project status
Work Experience
- 2 - 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- PyTorch
- TensorFlow
- JAX
- MPI
- Slurm
- Docker
- Singularity
- ONNX
- NVIDIA/TensorRT
Benefits
Flexible Working
- Flexible work schedule
Other Benefits
- Comprehensive benefits suite
- Financial wellbeing support
Healthcare & Fitness
- Physical wellbeing support
Mental Health Support
- Emotional wellbeing support
Learning & Development
- Career development programs
Informal Culture
- Inclusive work environment
About the Company
Hewlett Packard Enterprise
Industry
IT
Description
The company is a global edge-to-cloud provider that helps businesses connect, protect, analyze, and act on their data and applications.
Not a perfect match?
- Hewlett Packard Enterprise
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