MTS Software System Design Eng.

• Providing educators and researchers with access to our latest technology
• Developing and delivering teaching and training workshops designed for academia
• Developing open-source hardware and software projects for and with academia
• Organizing academic contests, hackathons, and other events
• Enabling new business and technical opportunities through partnerships

• Enabling the use of AI, High Performance and Adaptive Computing technologies in academia
• Delivering technical training workshops to professors and graduate students on our latest hardware and software technologies
• Creating teaching materials, labs, design examples, demos and application notes
• Collaborating with faculty and students on research and teaching programs
• Collaborating with faculty on external funding opportunities and large programs
• Developing technical projects and supervising intern projects as required
• Supporting conferences, trade shows and customer-facing events
• Supporting academic customer queries and technical issues
• Collaborating with other teams at AMD and external partners on academic programs
• Contributing to the specification, evaluation, and development of systems for academic use
• Identifying and disseminating examples of best practices in teaching and research
• Keeping up to date with latest developments in the related markets and local industries
• Managing of operations and special programs

• Hands-on use of AI tools, frameworks, and platforms (eg, TensorFlow, PyTorch, or similar).
• Familiarity with AMD AI, high-performance, and adaptive computing hardware, as we'll as related software tools.
• Strong software programming and development skills.
• Proven problem-solver and self-starter, able to work independently and take the lead on new initiatives.
• Excellent communicator with strong interpersonal skills, comfortable working across cross-functional and remote teams.
• Willingness to travel nationally and internationally to support program needs.

• Data science, AI/ML infrastructure, or applications development.
• High-performance computing (HPC) and compute acceleration.
• Background in academic research or teaching or experience as a product, applications, or customer support engineer.

Technical proficiency in:

• Programming languages: Python, C/C++
• Programming models: HIP/ROCm/CUDA, MPI, OpenMP, BLAS
• DevOps tools: Kubernetes, Slurm, VMware

• Contributions to open-source projects or communities.
• Writing successful technical proposals.
• Publishing and presenting technical papers at conferences.
• Program management; leading projects from concept to completion, aligning teams, resources, and timelines for maximum impact.

• Bachelor s or Master s degree with relevant experience, or a PhD in Electrical Engineering, Computer Engineering/Science, or a related field, or equivalent expertise gained through other professional paths.