Research and Pathfinding Internship: AI Workload Compiler Optimization for CPU and GPU
PLN 74K-74K (estimate) Entry-level Internship Part Time
Tasks
- Build hierarchical scheduling for loop tiling vectorization memory placement
- Create cost driven and constraint pruning models
- Design PEG graph and PEG abstraction
- Develop optimization techniques for AI kernel compilation
- Enable autotuning for fused kernels
- Implement equality saturation optimization using e graph
- Integrate optimization pipeline with MLIR and LLVM retargetable backend
- Prototype equivalence checking using probabilistic methods and symbolic methods
Perks/Benefits
- Conference workshop publication opportunities
- Hybrid work model
- Innovation lab participation
- Life insurance
- Lunch coupons
- Mentorship
- Open source contributions
- Private medical plan
- Professional development
Skills/Tech-stack
AMX | AVX-512 | Autotuning | C++ | CPU cache | Compiler frameworks | Equality Saturation | GPU Architecture | Graph Representations | LLVM | MLIR | Machine Learning | Python | SIMD | SMT solving | Tensor Compiler Frameworks | Z3
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Compiler Engineer | Compiler Engineer | Engineer | Software Engineer
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