Master’s or PhD in Computer Engineering, Electrical Engineering, or a related field.
5+ years of experience in computing architecture or system design, preferably within AI, semiconductor, or computing domains.
Strong expertise in processor design, memory hierarchies, and interconnect technologies.
Proficiency in architectural modeling, simulation tools, and performance analysis frameworks.
Deep understanding of AI workloads, algorithms, and dataflow.
Proven track record of delivering complex computing architectures from concept to implementation.
Strong communication and collaboration skills, with the ability to work in a multidisciplinary and global environment.
Fluency in English.
Responsibilities:
Define and develop computing architectures for AI systems, including processor, memory, and interconnect subsystems.
Analyze and optimize computational workloads, ensuring low power consumption, high efficiency, and maximum performance for AI applications.
Drive innovation in architectural design by evaluating emerging technologies, industry trends, and academic advancements.
Work with hardware, software, and product teams to translate system requirements into architectural solutions that balance performance, cost, and power.
Collaborate on the co-design of AI accelerators and other key computing components to achieve seamless integration and operational excellence.
Develop simulation and modeling tools to validate architectural designs and predict system performance under various workloads.
Provide technical guidance and mentorship to junior engineers, fostering a culture of excellence and innovation within the team.