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Principal engineer (perugia)

Perugia
Axelera AI
Pubblicato il Pubblicato 10h fa
Descrizione

About UsSi assicuri che tutte le informazioni della sua candidatura siano aggiornate e corrette prima di cogliere questa possibilità.Axelera AI is not your regular deep-tech startup. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us.In just four years, we have raised a total of \(120 million and have built a world-class team of 220+ employees (including 49+ PhDs with more than 40,000 citations), both remotely from 17 different countries and with offices in Belgium, France, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands.We have also launched our MetisTM AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding \)100 million.Our unwavering commitment to innovation has firmly established us as a global industry pioneer.Are you up for the challenge?Position OverviewWe are seeking a Silicon Logical Design Principal Engineer to drive technical leadership across our digital design organisation. In this role, you will own and deliver organisation wide, multi year technical goals for AI accelerator SoCs from specification through tape out. You will combine deep technical expertise with technical influence across multiple teams and programs to drive execution, quality, and innovation.This is a hands on technical role for someone who thrives at the intersection of architecture, implementation, and cross functional influence in a fast paced startup environment. You will operate without direct management responsibility, instead leading through technical excellence, mentorship, and strategic vision.Key responsibilities:Technical LeadershipOwn organisation-wide, multi-year technical direction across teams and silicon programsDefine system-level architectures for AI accelerator SoCs aligned to long-term strategyMake high-impact technical decisions under ambiguity and align th

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