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Senior GPU Software Engineer - AI & HPC (ROCm)

AMD· Engineering
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Hybrid (Belgrade)Full-timePosted 4w ago

About the role

Senior GPU Software Engineer role focused on designing, developing, and optimizing GPU features for AI and HPC workloads within AMD's ROCm ecosystem. Hybrid in Belgrade region with in-office days.

Responsibilities

  • Design and develop high-performance GPU kernels for machine learning and Convolution workloads using HIP.
  • Collaborate with GPU architects to explore, evaluate, and leverage emerging hardware features.
  • Analyse, profile, and optimize GPU kernel performance, identifying opportunities for continuous improvement.
  • Create technical documentation, share best practices, and support the adoption of new capabilities within ROCm.
  • Partner with engineers, researchers, customers, and ecosystem partners to enhance ROCm applications, libraries, tools, and hardware.

Qualifications

  • Experience with GPU, DSP, AI accelerator, or other parallel compute architectures, performance analysis, algorithm development, and machine learning workloads
  • Hands-on experience developing and optimizing GPU software using HIP, CUDA, or similar technologies
  • Understanding of GPU runtimes, compilers, machine learning frameworks, HPC libraries, and performance optimization techniques
  • Knowledge of software engineering best practices, including testing, profiling, debugging, version control, and documentation
  • Strong communication and collaboration skills, with the ability to work effectively across multidisciplinary teams

Skills

Required:GPU kernel developmentHardware feature integrationPerformance analysis and optimization
Nice to have:Technical documentation

Benefits

  • AMD benefits at a glance.
Last updated Oct 22, 2026. Interested? Apply on the company site.
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