AI / HPC Software Development Engineer - University Program

WHAT YOU DO AT AMD CHANGES EVERYTHING

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.

THE ROLE:

We offer the industry's strongest portfolio of High Performance and Adaptive Computing products spanning CPUs, GPUs, FPGAs, and Adaptive SoCs. With these, we deliver differentiated solutions for cloud, edge, and intelligent end devices, that accelerate a diverse set of emerging workloads, from AI to smart networking and software-defined infrastructure. If you want to work with leading professors in top universities on exciting research and teaching projects using our state-of-the-art technologies, we invite you to apply to join our University Program team, which is part of the AMD Research and Advanced Development group.

We empower academic teaching and research with our technologies by:

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

THE PERSON:

We are seeking a Software Engineer to join our team in the USA. This is a highly collaborative and travel focused role, supporting academic partners across the country, the North America region, and internationally. You will regularly travel to universities, conferences, and training events to work directly with faculty and students.

You will join a team that is passionate about enabling academics with High Performance and Adaptive Computing technologies. In this position you will work hands-on with our latest hardware and software, using innovative technologies to support and streamline our engineering and business processes while delivering an excellent experience to our academic customers.

KEY RESPONSIBILITIES:

• Enabling the use of AI and High Performance Computing technologies in academia through regular on site engagement with universities and research institutions, based in the USA.
• Creating teaching materials, labs, design examples, demos, and application notes for use in on site and conference based training
• Delivering in person and remote technical training workshops to professors and graduate students at universities, conferences, and company hosted events
• Collaborating with faculty and students on research and teaching programs
• Supporting and representing the company at conferences, trade shows, and academic events
• Supporting academic customer queries and technical issues
• Contributing to the specification, evaluation, and development of systems for academic use
• Travel is a significant part of this role and may be approximately 25 to 50 percent, including domestic and occasional international travel.

Preferred Experience

• Experience in Data Science, AI/ML infrastructure or applications development including programming GPUs with HIP/CUDA or AI frameworks, such as PyTorch
• Familiarity with AMD High Performance Computing software and hardware development tools, and corresponding computer architecture concepts
• Experience developing and delivering training courses
• Experience with general software programming, development, and test processes
• Experience working in academic research/teaching setting, or alternatively, working as product, applications, or customer support engineer
• Strong oral and written communication, and excellent interpersonal skills: comfortable working with cross-functional, remote teams
• Strong problem-solving skills, being a self-starter capable of working with minimal supervision and leading new initiatives
• Demonstrated willingness and ability to travel frequently for on site university visits, conferences, and training delivery

An ideal candidate would also have:

• Experience with some/most/all of the following technologies:
  • AI: LLM, PyTorch, TensorFlow, JAX
  • Programming Language: C/C++, Python
  • Programming Model: HIP/ROCm/CUDA, MPI, OpenMP, BLAS
  • DevOps: Kubernetes, Slurm
• Involvement with open-source community
• Experience publishing and presenting technical papers at conferences

ACADEMIC CREDENTIALS:

• Master's degree, or PhD degree in Electrical Engineering, Computer Engineering/Sciences, or related fields, or equivalent preferred.

LOCATION: Austin, TX, USA (preferred), may be open to other AMD office locations in the USA.

This role is not eligible for visa sponsorship.

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Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's “Responsible AI Policy” is available here.

This posting is for an existing vacancy.