1 day ago
Helsinki, FinlandStaff+
Responsibilities
- Develop, port, and optimize high-performance computing software and applications for AMD hardware.
- Apply performance engineering across CPU and GPU execution paths for large-scale HPC workloads.
- Implement and use MPI, HIP, CUDA, and OpenMP parallel programming models.
- Collaborate with customer HPC teams, researchers, scientific software teams, and AMD product groups to resolve issues and modernize applications.
- Represent AMD to customers and third parties and advocate for customer needs internally.
- Develop and present training materials to internal audiences, customer venues, and industry conferences.
Requirements
- Strong expertise in HPC application performance optimization, GPU programming, and scientific application development.
- Experience with scientific computing disciplines, distributed-memory parallel programming, HPC profiling tools, GPU acceleration, and HPC application modernization.
- Proficiency in Fortran or C/C++.
- Experience with HPC build systems and revision control practices.
- Familiarity with converged HPC/AI workflows and major AI frameworks such as PyTorch or TensorFlow is highly desirable.
- Experience supporting large-scale simulation workloads is highly desirable.
- Ability to collaborate effectively with geographically distributed teams and work on-site for customer-facing responsibilities.
Benefits
- AMD benefits are offered; details are provided through AMD benefits at a glance.
- On-site work is required for customer-facing responsibilities with the LUMI Center of Excellence.
About AMD
AMD designs and sells CPUs, GPUs, and adaptive/embedded computing products for PCs, data centers, gaming, and edge devices. Its portfolio includes Ryzen and EPYC processors, Radeon and Instinct graphics, and adaptive SoCs from its Xilinx acquisition, sold to OEMs, cloud providers, and device makers. Founded in 1969 and headquartered in Santa Clara, it is a public company on NASDAQ and supplies semi-custom chips for major game consoles.