Teams at Axelera AI

Grow and manage Axelera AI’s developer community across forums, GitHub, social channels, and events. Responsibilities include answering technical questions, creating tutorials and product content, organizing webinars and meetups, building relationships with influencers and power users, advocating for community-requested product improvements, supporting open-source contributions, and tracking engagement and health metrics. The role requires technical literacy in AI hardware, SDKs, embedded systems, maker platforms, and AI-assisted content and analytics tools.

Six-month hardware lab internship supporting AI Processing Unit board development. Responsibilities include electrical measurements, test-bench setup, board performance characterization, ancillary card schematic capture and PCB layout, lab equipment management, calibration tracking, and inventory control. The role requires on-site work in Florence and suits a technical diploma holder with basic electronics, measurement, PCB design, Linux, and scripting knowledge.

Evaluate and optimize machine learning inference performance across hardware and software platforms. Develop benchmarking tools, reproducible evaluation procedures, dashboards, and standardized reporting for throughput, latency, power, and accuracy. Analyze end-to-end computer vision pipelines, host-device overhead, compiler toolchains, SDKs, and runtime execution. Set up evaluation hardware and lab infrastructure, assess accelerator capabilities, and communicate findings that inform engineering and product roadmap decisions.