19 hours ago
Helsinki, FinlandSenior
Responsibilities
- Optimize machine learning kernels for AMD GPUs, with emphasis on performance and power efficiency.
- Design and develop GPU and machine learning technologies.
- Improve development workflows and CI infrastructure for faster and more reliable delivery.
- Debug existing issues and research and implement more efficient alternatives.
- Use GPU profiling, debugging, benchmarking, and performance analysis techniques.
- Build technical relationships with internal teams and external partners.
- Monitor developments in GPU architecture and machine learning algorithms.
Requirements
- 3+ years of GPU software development experience using HIP, CUDA, or OpenCL.
- 5+ years of system-level programming experience in C++, with C++17 or later preferred.
- Strong understanding of modern GPU architectures.
- Experience working directly with hardware ISA is highly valued.
- Experience with GPU profiling, debugging, benchmarking, and performance analysis tools.
- Background in high-performance computing or other performance-critical systems.
- Familiarity with PyTorch and MIOpen.
- Experience with tile-based programming models and frameworks such as Triton and CUTLASS.
- Bachelor's or master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent practical experience.
- Strong written and verbal communication skills in English.
Benefits
- AMD benefits are referenced in the posting, with details provided through AMD benefits at a glance.
- The position is hybrid.
Categories
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.