Embedded Software Engineer with Deep Learning experience, Lund

Do you want to work with the latest technologies and highly skilled colleagues at a world‑leading company? If yes, you might be exactly who we're looking for! We're searching for a skilled Embedded Software Engineer with strong C/C++ expertise to join our Deep Learning Platform Team in Lund, Sweden. Who is your future team? You will become part of our Deep Learning (DL) Platform Team-an enthusiastic group working at the heart of Axis' DL offerings. We develop key components used across Axis products, with many touchpoints both internally and externally. Our team focuses on edge devices and their DL inference capabilities, creating solutions that make a real impact in our products. What you'll do here as an Embedded Software Engineer In this role, you'll work on technology that sits right at the core of Axis video products. You'll be deeply involved in evaluating and integrating deep learning IPs and accelerators. You'll help shape and develop our Deep Learning Runtime API and services, ensuring that application developers have a solid and efficient platform to build on. A key part of your work will be optimizing code for performance, memory usage and reliability, always striving to get the most out of our hardware. Throughout all of this, you'll collaborate closely with internal teams and external partners, contributing to a platform used across our entire product portfolio. Who are we looking for? You enjoy diving deep into embedded systems, working hands‑on with drivers, frameworks, debugging, optimization, and improving platform quality. You thrive when solving complex technical challenges and value teamwork just as much as autonomy. You bring energy, curiosity, and a willingness to continuously grow. We'd love to hear that you have: A master's degree in computer science, physics, mathematics, electrical engineering, or similar 3-5+ years of experience in C/C++ development, embedded systems, and Linux C APIs A strong interest in deep‑learning-based solutions and