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Master Thesis(m/w/x)
Designing MLIR-based compiler components for AI models on edge hardware, optimizing with RISC-V vector instructions. Master's program enrollment at a top European university, C++/Python experience required. Flexible work hours offered.
Requirements
- Enrollment at a top-level European university
- Enrollment in a Master's program in Computer Science, Electrical Engineering, or related field
- Knowledge and hands-on experience in C++ and Python
- Understanding of software engineering principles, data structures, design patterns, and algorithms
- Desire to work with a community of open-source contributors
- Ambition and curiosity to solve complex problems
- Experience working with MLIR or LLVM
- Knowledge of AI algorithms and experience with AI accelerators
- Knowledge of data motion networks and optimized AI libraries
- Knowledge about hardware architectures for CPUs, GPUs, or NPUs/accelerators
Tasks
- Design and implement new components for the next generation compiler based on MLIR
- Explore novel optimization techniques
- Collaborate with customers to enhance compiler technology and user experience
- Engage with the open-source community to build a strong ecosystem around Roofline
- Optimize performance using vector instructions for RISC-V
- Develop a new tiling strategy for Blockbuster
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- C++
- Python
- MLIR
- LLVM
- AI algorithms
Benefits
Learning & Development
- Opportunities to learn and evolve
Flexible Working
- Flexible work hours
Team Events
- Regular team events and retreats
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Master Thesis(m/w/x)
Designing MLIR-based compiler components for AI models on edge hardware, optimizing with RISC-V vector instructions. Master's program enrollment at a top European university, C++/Python experience required. Flexible work hours offered.
Requirements
- Enrollment at a top-level European university
- Enrollment in a Master's program in Computer Science, Electrical Engineering, or related field
- Knowledge and hands-on experience in C++ and Python
- Understanding of software engineering principles, data structures, design patterns, and algorithms
- Desire to work with a community of open-source contributors
- Ambition and curiosity to solve complex problems
- Experience working with MLIR or LLVM
- Knowledge of AI algorithms and experience with AI accelerators
- Knowledge of data motion networks and optimized AI libraries
- Knowledge about hardware architectures for CPUs, GPUs, or NPUs/accelerators
Tasks
- Design and implement new components for the next generation compiler based on MLIR
- Explore novel optimization techniques
- Collaborate with customers to enhance compiler technology and user experience
- Engage with the open-source community to build a strong ecosystem around Roofline
- Optimize performance using vector instructions for RISC-V
- Develop a new tiling strategy for Blockbuster
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- C++
- Python
- MLIR
- LLVM
- AI algorithms
Benefits
Learning & Development
- Opportunities to learn and evolve
Flexible Working
- Flexible work hours
Team Events
- Regular team events and retreats
About the Company
Roofline
Industry
IT
Description
The company is building a software development kit to run any model on disruptive hardware at the edge, focusing on AI applications.
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