we are looking for a highly driven and innovative AI and Computer Architecture Researcher to join our cutting-edge research and development team. The role involves leading and contributing to pioneering projects in the fields of large language models (LLMs), memory architectures, quantization techniques, and disaggregated memory systems. The ideal candidate will have a strong background in deep learning, hardware-software co-design, and performance optimization, with proven success in both academic research and industry applications.

You will collaborate with cross-functional teams to develop novel AI architectures, optimize inference and training performance, and design systems that improve scalability and efficiency at both the software and hardware levels. This role also offers opportunities to mentor students, publish research in top-tier conferences, and contribute to the development of groundbreaking AI infrastructure

Qualifications

• Ph.D. (or near completion) in Computer Engineering, Electrical Engineering, or a related field.
• Proven experience in designing and optimizing LLM architectures (e.g., memory-augmented attention mechanisms, quantization strategies).
• Deep knowledge of computer architecture concepts including DPUs, disaggregated memory, and content-addressable memory.
• Strong hands-on experience with frameworks such as PyTorch or TensorFlow and proficiency in system-level programming (C/C++/Rust).
• Experience in performance analysis and optimization of deep learning models at scale.
• A strong publication record in top-tier venues (e.g., ISCA, MICRO, Bioinformatics).
• Excellent communication and collaboration skills, with experience mentoring students or junior researchers.
• Background in genomic computing and machine learning for biological data is a plus.
• Teaching and academic supervision experience is an advantage.

Apply now by sending your CV to [email protected]