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Senior R&D Engineer - System Architecture (Italy based) Join to apply for the Senior R&D Engineer - System Architecture (Italy based) role at Axelera AI . Axelera AI is not your regular deep-tech startup. In just four years, we have raised a total of $120 million and have built a world-class team of 220+ employees (including 49+ PhDs with more than 40,000 citations), both remotely from 17 different countries and with offices in Belgium, France, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands. We have also launched our Metis™ AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million. Our unwavering commitment to innovation has firmly established us as a global industry pioneer. Within the R&D System Architecture team, we are seeking a highly skilled Hardware Architect focused on memory design, intra- and inter-chip networking and interconnect technology, system-integration, performance tuning and hardware-software interactions, with a particular focus on memory management, dataflow and networking infrastructure such as remote-DMA over ethernet, Infiniband or similar technologies. The ideal candidate has a strong corporate or academic background in hardware and system architecture. Your primary role will be to design, architect, and optimize the hardware architecture that underpins Axelera’s cutting-edge AI acceleration platforms. Contribute to the Design, Architecture and implementation of Axelera’s next-gen AI Accelerators, focusing on memory and inter- and intra-chip network architectures. Build architectural models, validate their performance across a range of AI workloads and research and define optimal configurations. Define and perform rigorous performance evaluation tests for architectural and behavioural verification. Collaborate closely with cross-functional teams including software engineers, digital designers, ML scientists, and product managers to align on project goals and requirements. Collaborate with academia or industry partners on joint research projects to explore new possibilities in AI technology. D. degree in Computer Science, Electrical Engineering, or related fields with a focus on circuit design, and computer architecture or high-performance computing. Basic working knowledge of Neural Networks, specifically Convolutional or transformer Neural Networks for Computer vision and Sequence Modelling. Experience in software development. Experience in hardware development. Strong programming skills in Python. Experience or knowledge of networking protocols such as RoCE or infiniband, networking technologies, (Remote) direct-memory access. Basic knowledge of common computer architectures (CPU, GPU, AI accelerators) and SoC architecture. Proven track record of innovative contributions to AI/ML projects or research initiatives / publications or patents in the field of neural networks, system architecture, or related areas.
