Teams at Axelera AI

Build and maintain agentic AI platform capabilities, execution environments, workload orchestration, and software integrations. Deploy and optimize computer vision models, LLM services, and inference infrastructure on accelerated hardware. Validate platform correctness, performance, security, reliability, and failure recovery across software and compute layers. Produce documentation and operational runbooks while collaborating across teams and adopting unfamiliar tools and systems.

Own platform-level architecture for datacenter AI accelerator systems from server to rack to datacenter. Translate compute, memory, and interconnect requirements into hardware specs; define interconnects, PCIe/CXL integration, power budgeting, RAS/operability, and scalability. Collaborate with silicon, software, AIIS, partners and customers to align architecture and drive platform design best practices.

Lead and scale the digital/RTL design organization to deliver complex AI accelerator SoCs from specification through tape-out. Own RTL implementation, block and top-level integration, enforce coding and review standards, partner with verification/physical design/DFT/software teams, support bring-up and silicon validation, and mentor engineers while contributing to long-term IP and architecture roadmap.