Ai Software Development Eng

• End to end optimization: Build and optimize end to end distributed inference and RL solutions on mainstream frameworks like vLLM and SGlang
• Collaborate with GPU Library Teams: Work closely with internal teams to analyze and improve training and inference performance on AMD GPUs
• Collaborate with Open-Source Maintainers: Engage with framework maintainers to ensure code changes are aligned with requirements and integrated upstream
• Work in Distributed Computing Environments: Optimize deep learning performance on both scale-up (multi-GPU) and scale-out (multi-node) systems
• Utilize Cutting-Edge Compiler Tech: Leverage advanced compiler technologies to improve deep learning performance
• Optimize Deep Learning Pipeline: Enhance the full pipeline, including integrating graph compilers
• Software Engineering Best Practices: Apply sound engineering principles to ensure robust, maintainable solutions

• Master's or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related fields
• 5+ years of professional experience in technical software development, with a focus on GPU optimization, performance engineering, and framework development

• GPU Kernel Development & Optimization
• Deep Learning Integration
• End to end solution optimization
• High-Performance Computing
• Compiler Optimization
• Text to Video or Image to Video experience

Benefits offered are described: AMD benefits at a glance