Remote Senior R&D Engineer - RISC-V Memory Hierarchy (Italy or Netherlands based)

Description:

• Axelera AI is seeking a Senior R&D Engineer with expertise in memory hierarchy design and validation for high-performance AI processing elements.
• The role involves developing and optimizing classical memory hierarchies (L1/L2/L3) tailored for AI processing, focusing on high performance and non-blocking designs.
• Responsibilities include designing and validating coherent cache architectures for advanced AI workloads, minimizing latency, and maximizing throughput in memory-intensive applications.
• The candidate will leverage a deep understanding of the RISC-V Weak Memory Model (RVWMO) to design memory systems that align with RISC-V specifications.
• The position requires modeling, analyzing, and validating memory consistency across various processing scenarios and contributing to the development of RVWMO validation tools.
• The engineer will develop simulation and hardware models to test memory systems and collaborate with architecture and verification teams to ensure alignment with system-level requirements.
• Staying updated on advancements in memory hierarchy design and AI processing architectures is essential, along with proposing novel approaches to emerging challenges.
• The role includes contributing to technical publications, patents, and standards related to memory systems and AI hardware.

Requirements:

• A Master's or PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field with a focus on memory systems or AI processing is required.
• The candidate must have experience in designing and optimizing L1/L2/L3 cache hierarchies for high-performance systems, particularly AI processing units.
• A strong understanding and practical experience with the RISC-V Weak Memory Model (RVWMO) in memory system design and validation is essential.
• Hands-on experience with coherent cache architectures supporting scalable, efficient AI workloads is necessary.
• Proficiency in using simulation and hardware modeling tools for testing memory systems and validating performance is required.
• The candidate should have a passion for staying current with advancements in memory system design and AI technologies, with experience contributing to publications or patents.
• Strong ability to work with cross-functional teams and communicate complex technical ideas effectively is important.
• Proficiency in English, both spoken and written, is mandatory.

Benefits:

• Axelera AI offers an attractive compensation package, including a pension plan and extensive employee insurances.
• Employees have the option to acquire company shares as part of their compensation.
• The company promotes an open culture that supports creativity and continual innovation.
• Collaborative ownership and freedom with responsibility characterize the work environment.
• Axelera AI is committed to equal opportunity and diversity, fostering a warm and inclusive environment for all team members.