The Role: Be part of the team that works directly with Google, Amazon and Microsoft. Be part of a hardworking team that develops software for AMD’s GPU Virtualization solution and delivers a premium GPU experience in the cloud. Internal candidates see what we do. Contribute to the team building and optimizing AMD Instinct Acceleratorsfor HPC and AI/Machine Learning. The individual will be part of a development team which analyzes, develops, tests, and deploys software to make AMD the leading platform for HPC and AI/Machine learning applications. The Person: The ideal person has strong technical and analytical skills in kernel mode software development. They must have the ability to work as a member of a team, while also being able to work independently, define goals, scope, and lead their own development effort. Key Responsibilities: Work with internationally renowned world-class cloud providers to enable AMD Accelerators for HPC and AI. Develop AMD’s GPU virtualisation solution spanning Windows/Linux GPU software to a variety of Hypervisors (including KVM, Hyper-V, VMware… etc.) Work with cross functional teams to further increase the solution lead between AMD and the competition Mentor and guide junior engineers, providing technical leadership and fostering a culture of innovation and excellence. Conduct code reviews and ensure adherence to best practices in software development and design. Drive the continuous improvement of software development processes and tools to enhance productivity and quality. Engage with customers and partners to gather feedback and requirements, translating them into actionable development plans. Preferred Experience: Excellent C/C++ programming and software design skills including debugging, performance analysis, and test design. Experience developing device drivers in Windows and Linux environment including using commonly used tools Experience in developing and debugging kernel mode device driver software under Linux and/or Windows. 7+ years of professional software development experience preferred. Excellent problem-solving skills and the ability to work effectively in a fast-paced, dynamic environment. Proven track record of leading complex software projects from conception to delivery, particularly in the area of GPU virtualization or cloud computing. Deep understanding of GPU architectures and experience with AMD GPU technologies. Strong expertise in performance tuning and optimization of GPU software for high-performance computing and AI applications. Experience with containerization technologies (e.g., Docker, Kubernetes) and their integration with GPU resources. Strong communication skills, with the ability to articulate complex technical concepts to diverse audiences. Academic Credentials: The candidate must have an undergraduate degree in a related field (Computer Science, Computer or Software Engineering) #LI-HS3