Lead HPC and AI Performance Engineer - Center of Excellence

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AMD’s HPC and Sovereign AI Enablement team is seeking a HPC and AI Computational Scientist / Engineer to optimize scientific computing applications for AMD GPU platforms. This role requires strong foundational expertise in HPC application performance, GPU programming, and scientific simulation domains. As part of AMD’s LUMI Center of Excellence (CoE), the engineer will collaborate directly with customer teams across academia, industry, and research laboratories to modernize, port, and tune applications for supercomputing and AI-enabled workflows. The role spans testing, tuning, performance engineering, and full-stack optimization for large-scale HPC workloads on AMD architectures.

A highly motivated and passionate computational scientist, physicist, or engineer with deep expertise in HPC performance optimization, GPU programming, and scientific application development. This individual thrives in fast-paced, highly technical, cross-functional environments—collaborating with researchers, scientific software teams, and customer HPC groups to test, port, optimize, and scale complex simulation and modeling codes across domains such as finite element analysis, computational chemistry, weather modeling, fluid dynamics, and energy systems.

They will apply advanced performance engineering techniques across CPU and GPU execution paths; implement MPI, HIP, CUDA, and OpenMP parallel programming models; leverage HPC profiling tools; and contribute to emerging converged HPC/AI workflows.

The ideal candidate is proficient in Fortran or C/C++, experienced with HPC build systems and revision control practices, and comfortable supporting geographically distributed teams. They must be self-motivated, collaborative, and able to work effectively in a team environment.

Additionally, they must be willing to work on-site, which is required for customer-facing responsibilities with the LUMI CoE.

KEY RESPONSIBILITIES:

• Develop, port, and optimize high-performance computing software and applications for use on AMD hardware
• Work with other members of the CoE team to collaboratively solve issues
• Represent AMD to the customer and other third parties, and act as the customer advocate when presenting to AMD audiences
• Engage with AMD product groups to drive resolution of customer issues
• Develop and present training materials to internal audiences, at customer venues, and at industry conferences

PREFERRED EXPERIENCE:

• Strong experience in scientific computing disciplines, distributed-memory parallel programming, HPC profiling tools, GPU acceleration technologies, and HPC application modernisation.
• Familiarity with converged HPC/AI workflows and major AI frameworks such as PyTorch or TensorFlow, as well as experience supporting large-scale simulation workloads, is highly desirable.

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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.