2 days ago
Beijing, ChinaSenior
Responsibilities
- Research and develop technologies for Agentic AI, Physical AI, World Models, and RSI-related initiatives.
- Enable and optimize advanced AI models, harnesses, skills, and workloads on AMD platforms.
- Use data-driven analysis to identify bottlenecks and prioritize optimization efforts.
- Build proof-of-concept systems and translate research into practical solutions.
- Profile and optimize AI performance workloads while staying current with emerging AI research, software, and hardware trends.
- Provide technical leadership and collaborate with internal and external partners.
Requirements
- Strong programming skills in Python and C/C++.
- Experience with AI frameworks such as PyTorch, JAX, TensorFlow, or similar technologies.
- Knowledge of generative AI, multimodal models, Agentic AI, robotics, or World Models.
- Experience with GPU computing and performance optimization; ROCm, HIP, CUDA, or Triton experience is a plus.
- Ability to reproduce research, develop high-quality software, and deliver practical solutions.
- Effective communication, collaboration, and technical leadership skills.
- Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Robotics, or equivalent experience.
Benefits
- AMD benefits are offered, with details referenced in AMD benefits at a glance.
Categories
AI ResearchML Engineering
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.