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AMD
SeniorAI/MLSoftware Engineering

Sr. Software System Designer

AMD6 lis 2026
  • Belgradecountry flagRS
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Job Description

ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world's most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. Whether you're designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we'll advance your career.

We are looking for a passionate, creative, team-oriented, and results-driven engineer who is ready to work in a fast-paced, cutting-edge technology environment. This role is important to achieve agile deployment of the AMD Radeon Open Compute (ROCm) platform solution by supporting the continuous integration of system level SW components.

THE ROLE

This role is important to achieve agile deployment of the AMD Radeon Open Compute (ROCm) platform solution by supporting the continuous integration of system level SW components. Work with global teams in Shanghai, Toronto and Nis/Belgrade to conduct SW/FW integration and validation to support next generation of AMD machine learning GPU products. Coordinate closely with peers and colleagues to ensure timely and effective communication of all assigned work activities.

DURATION: 12 month contract, with possibility to extend.

PREFERRED SKILLS AND APTITUDES

  • Proficient in scripting languages, including Python and Shell Scripting
  • Hands on experience with ML frameworks such as PyTorch, Tensorflow or another popular ML software frameworks
  • Experience defining tests plans/strategy and test automation solutions
  • Experience working with large Source Code base, Configuration management, Source control tools, Git exposure is essential
  • Strong debugging and analysis skills, for root causing complex issues
  • Excellent English communication (written and verbal) and interpersonal skills
  • Experience in GPU driver testing on Linux
  • Understanding of machine learning concepts and neural network architectures
  • Experience with Continuous Integration tools such as Jenkins and code reviews tools like gitlab

ACADEMIC CREDENTIALS

Bachelor's degree (or equivalent) with 5+ years of experience, Master's degree with 3+ years of experience