Chief Technology Officer (CTO), AI Infrastructure & Memory Systems

The Company is seeking a Chief Architect for AI Infrastructure and Memory Systems, a role that demands a visionary leader with a deep technical background in AI workloads, computer architecture, and systems. The successful candidate will be at the forefront of defining the future of memory-centric computing platforms for AI inference, with a focus on emerging technologies such as HBM, DDR, CXL, and advanced interconnects. Key responsibilities include identifying and addressing technical bottlenecks in AI data centers, developing a profound understanding of evolving AI workloads, and leading the architecture of solutions that meet the real-world needs of customers. The role also involves challenging conventional architectures, exploring new product concepts, and engaging with industry and technology intelligence to stay ahead of the curve. Applicants for this role at the company should have a Bachelor's or Master's degree in a relevant technical field, with a PhD preferred, and at least 10 years of experience in computer architecture, semiconductor systems, AI infrastructure, or related areas. The ideal candidate will have a strong background in modern AI/ML workloads, particularly LLM inference, and a proven track record in developing or architecting complex hardware or software systems. Experience with AI accelerator architecture, high-speed interconnects, and a range of advanced memory technologies is highly valued. The role requires excellent communication skills, the ability to engage with both technical and business stakeholders, and a talent for translating technical concepts into commercially viable product requirements.