AI Model, Framework, and GPU Software Engineer – Agentic AI

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AI Model, Framework, and GPU Software Engineer – Agentic AI

The Role

Join a team developing AI software technologies that enable state-of-the-art models and frameworks to run efficiently on GPU-accelerated platforms. This role spans the end-to-end AI software stack - from model bring-up and framework enablement to performance optimization and GPU software acceleration - and offers the opportunity to contribute to open-source AI ecosystems supporting generative AI, agentic AI, large language models, image generation, and other emerging workloads across client, consumer, and enterprise platforms.

The Person

You are a strong software engineer with solid knowledge of AI software stacks and an interest in working across models, frameworks, and GPU acceleration. You are comfortable learning quickly in a fast-moving technical domain, solving complex problems, and collaborating with distributed teams across software, compiler, platform, and product areas. You communicate clearly, take ownership of technical challenges, and are motivated to build practical AI solutions that scale to real users.

Key Responsibilities

• Develop AI software solutions that enable efficient execution of models and frameworks on GPU-accelerated platforms.
• Enable and optimize AI frameworks, inference stacks, and agentic AI software.
• Bring up, analyze, and improve the performance of state-of-the-art AI models.
• Optimize AI workloads across the software stack, from model architecture to GPU acceleration.
• Collaborate with cross-functional teams to deliver end-to-end AI software features and capabilities.
• Contribute to open-source AI software projects and support customer enablement efforts.
  
  
  

Preferred Experience

• Experience developing software in C/C++ and/or Python on Linux and Windows platforms.
• Strong understanding of AI/ML concepts, model architectures, and inference workflows.
• Experience with AI frameworks and technologies such as PyTorch, vLLM, llama.cpp, or similar ecosystems.
• Familiarity with GPU acceleration, performance optimization, compiler technologies, or low-level programming.
• Experience analyzing and improving the performance of AI workloads and operators.
• Open-source software development experience and interest in emerging AI technologies are a plus.
  
  
  

Academic Credentials

• Bachelor’s, Master, or PhD in Computer Science, Electrical Engineering or relevant fields preferred
  
  
  

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.