Responsibilities and Opportunities

• Design and develop Rebellions’ proprietary compiler stack to accelerate deep learning models on RBLN NPU products
• Architect and implement production-grade frontend and backend compilers with strong generalization capabilities, covering broad functional requirements and optimization strategies
• Evaluate and validate core-level and system-level functionalities in close collaboration with hardware and system software architects and engineers

Key Qualifications

• Master’s degree or higher in Computer Science, Electrical Engineering, or a related field
• Solid understanding of compiler architecture, including transformation passes, high/mid/low-level optimization and scheduling techniques, scratchpad and buffer memory allocation, and backend code generation
• Strong analytical, troubleshooting, and debugging skills
• Proficiency in C++ and Python

Ideal Qualifications

• Demonstrated experience in developing and maintaining high-quality, production-level software systems
• Experience with deep learning inference on specialized hardware platforms, including NPUs, GPUs, and mobile application processors
• Expertise in cutting-edge LLM inference, with a strong understanding of advanced memory management and high-throughput generation techniques
• Hands-on experience with parallel programming paradigms and the development of low-level kernels for AI accelerators or GPUs
• Academic background in programming language, compiler, computer architecture is preferred