Rebellions | 리벨리온대한민국 경기도 성남시 분당구 정자일로 239, 102동 8층
Responsibilities and Opportunities
Designing Rebellions' proprietary compiler stack to accelerate deep learning models on RBLN NPU products
Architecting and developing production-quality frontend/backend compilers with a focus on generalization, encompassing a wide range of functional coverage and optimization
Evaluating and verifying core-level and system-level functional features, working closely with hardware and system software architects/engineers
Key Qualifications
Master's or higher degree in Computer Science, Electrical Engineering, or a related field
Knowledge of compiler architecture, including various transformation passes, high/mid/low-level optimization/scheduling techniques, scratchpad/buffer memory allocation, backend code generation, etc.
Excellent troubleshooting, problem-solving, and debugging skills
Proficiency in programming languages: Python, C++
Ideal Qualifications
Proven track record of building high-quality, production-level software
Experience in deep learning inference on ASIC, including NPUs, GPUs, mobile APs, etc.
Designing Rebellions' proprietary compiler stack to accelerate deep learning models on RBLN NPU products
Architecting and developing production-quality frontend/backend compilers with a focus on generalization, encompassing a wide range of functional coverage and optimization
Evaluating and verifying core-level and system-level functional features, working closely with hardware and system software architects/engineers
Key Qualifications
Master's or higher degree in Computer Science, Electrical Engineering, or a related field
Knowledge of compiler architecture, including various transformation passes, high/mid/low-level optimization/scheduling techniques, scratchpad/buffer memory allocation, backend code generation, etc.
Excellent troubleshooting, problem-solving, and debugging skills
Proficiency in programming languages: Python, C++
Ideal Qualifications
Proven track record of building high-quality, production-level software
Experience in deep learning inference on ASIC, including NPUs, GPUs, mobile APs, etc.