AI Model, Framework, and GPU Software Engineer – Agentic AI
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we’re looking for talent who feel the same: people who want to leave the planet better than they found it, those who don’t shy away from humanity’s challenges but are determined to help solve them.
AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you’re designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward.
THE ROLE:
THE PERSON:
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