Generative AI NPU designer (DE)

讓我們跨越國界，千里來相逢，用AI展翅翱翔，來尋找千載難逢的機會 (Tranxform.com 千逢科技) Hardware Design • Generative AI NPU design and hardware architecture • Memory system design (cache controller, DRAM controller) • Interconnect/Fabric design • Low power technology expertise • High-speed interface design (HW/SW collaboration) • High-performance virtualization designs Programming Languages: Strong programming skills in languages like Verilog and possibly high-level languages like C/C++. Experience in AI/ML: In-depth knowledge of artificial intelligence and machine learning algorithms. NPU Architecture: Proficiency in designing Neural Processing Unit architectures. Parallel Processing: Understanding of parallel processing and optimization techniques for neural networks. Team Collaboration: Effective communication and collaboration skills within a multidisciplinary team. Problem-solving: Strong analytical and problem-solving skills to address complex design challenges. Knowledge of Industry Trends: Awareness of the latest trends and advancements in NPU technology and AI hardware. Results-Driven: A proactive and results-driven mindset, aiming for high-quality outcomes. Ownership Mentality: Willingness to take ownership and responsibility for the design process. Adaptability: Ability to adapt to evolving technologies and project requirements. Advanced Degree: Typically, a relevant advanced degree (Master’s or Ph.D.) in Electrical Engineering, Computer Science, or a related field.