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.
Build advanced hardware prototypes.
Create detailed architectural specifications.
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.
Communicate complex technical concepts effectively to both technical and non-technical stakeholders within the organization.
Contribute actively to the team's knowledge base through documentation, sharing best practices, and participating in technical discussions.
Collaborate with academia or industry partners on joint research projects to explore new possibilities in AI technology.
Contribute to Axelera's intellectual property through patent filings, whitepapers, blogposts, or publications in relevant conferences or journals.

Master’s or Ph.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
Excellent communication skills with the ability to collaborate effectively in a team environment.
Preferred: Experience or knowledge of networking protocols such as RoCE or infiniband, networking technologies, (Remote) direct-memory access
Preferred: Basic knowledge of common computer architectures (CPU, GPU, AI accelerators) and SoC architecture.
Preferred: 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.

Senior R&D Engineer – System Architecture

Key skills