Automotive Application Engineer
Pubblicato il 03-10-2026 - Axelera AI in Padova
About Us
La preghiamo di leggere attentamente la seguente descrizione del lavoro per assicurarsi di essere la persona giusta per questo ruolo prima di candidarsi.
Axelera AI is not your regular deep-tech company. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us.
About Us
Axelera AI is not your regular deep-tech company. 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 five years, we have raised a total of $450 million and have built a world-class team of 250+ employees (including 60+ PhDs with more than 40,000 citations), both remotely from 20 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 Overview
Axelera AI is looking for a hands-on Automotive Application Engineer to test and adapt Axelera's full-stack edge-AI solution — accelerator silicon and its software toolchain — against automotive market requirements.
Working inside the Automotive team, you will turn market and customer requirements into testable criteria, then verify the solution against them: porting and quantising automotive AI workloads, characterising performance and power, benchmarking against competing platforms, and documenting the gap between what the stack does today and what automotive programs demand.
You will also contribute to collaborative R&D; programs and automotive consortia — owning technical work packages, building demonstrators, and feeding that work into the internal roadmap. Reporting to the H