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.
채용 및 업무 수행과 관련하여 요구되는 법령 상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다.
보훈 대상자 및 장애인 여부는 채용 과정에서 어떠한 불이익도 미치지 않습니다.
담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다.
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NPU Compiler Engineer
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.