Principal Software Engineer focused on optimizing AI inference performance and distributed systems at AMD, working with the latest hardware and software technologies. Responsibilities include developing techniques for scale-up/scale-out inference, creating methods and tooling for dynamic resource utilization in inference, and supporting the ROCm ecosystem.

Senior Product Quality Engineer at AMD focusing on improving quality and reliability of Server CPUs and Instinct accelerators by developing and deploying ML/AI solutions for manufacturing and test data analysis. The role involves identifying use cases, building production-ready analytics, performing root-cause analysis, and driving adaptive test strategies.

This role focuses on designing, testing, and validating reference architectures for large-scale AI training and inference clusters. The engineer will develop tools for efficient cluster management, create documentation, serve as a technical interface with customers, conduct proof-of-concept implementations, and evaluate/benchmark infrastructure performance. Expertise in Kubernetes, AI/ML workloads, datacenter networking, GPU computing, and performance optimization for inference deployments is required.

Software Development Engineer at AMD to research, design, develop, and test operating systems-level software, compilers, and network distribution software for semiconductor operations. Focus on analyzing shader algorithms, optimizing performance, and developing algorithms/shaders for performance improvement on GPUs, including Machine Learning pipelines.

Software Development Engineer at AMD focused on developing AI software for GPU kernel optimization using LLM-powered agents, compiler feedback, and reward-driven loops. Also involved in developing AI systems courses on GPU optimization, transformers, and reinforcement learning, with project management responsibilities.