TL;DR
AI Software Research PhD Thesis Intern (AI): Contributing to the design, development, and optimization of AI software solutions, frameworks, and architectures with an accent on computer vision and deep learning models. Focus on implementing, tuning, and evaluating AI models, participating in applied research, and performing system-level deployment for hardware/software integration.
Location: Must be based in or able to work hybrid from Munich, Germany
Company
A global technology leader inventing at the boundaries of silicon, cloud, and AI to solve complex global challenges.
What you will do
- Design, develop, and optimize AI software solutions including algorithms and frameworks.
- Implement, tune, and evaluate AI models to ensure high performance and accuracy.
- Participate in applied research and contribute to hardware/software integration efforts.
- Collaborate with product teams and external partners on end-to-end AI systems.
- Conduct system-level deployment tasks to ensure scalable and efficient AI performance.
Requirements
- Currently pursuing a PhD in Computer Science or a closely related field.
- Proven experience in workload analysis, workload optimization, and computer architecture.
- Knowledge of machine learning, deep learning, or computer vision domains.
- Ability to work within a hybrid model on-site at the Munich office.
Nice to have
- Hands-on experience with performance analysis tools like VTune or processor simulators.
- Background working with parallel workloads such as scientific computing or data analytics.
- Understanding of multi-node hardware/software systems.
- Familiarity with optimization strategies like roofline analysis, communication avoidance, and caching behavior.
Culture & Benefits
- Supportive environment designed for career growth and learning.
- Opportunity to work on real-world, high-impact AI initiatives.
- Exposure to industry-leading AI research and development tools.
- Flexible hybrid work model balancing on-site collaboration and off-site work.