Nis, Serbia
Internship Explorer
Internship Explorer
At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. As an AMD intern, you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You’ll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you’re an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next. JOB DETAILS: * Location: Nis, Serbia * Onsite/Hybrid: This role requires the student to work full time ( 40 hours a week), either in a hybrid or onsite work structure throughout the duration of the intern term. * Duration: 01-Aug-2026 to 15-Oct-2026 WHAT YOU WILL BE DOING: We are seeking highly motivated Software Engineering intern/co-op to join our team at AMD. In this role * We will assign you responsibilities in which you will work closely with our software engineers to build and maintain our software libraries, tools and applications * We will provide access to state-of-the-art AI tools for software development and guidance for their effective use * We will help you learn debugging methodologies to investigate the root cause of software issues * In certain projects we may have your involvement in crafting technical/functional documents and reports as needed * You will be encouraged to apply a data-minded approach to targeted optimization efforts
