AMD

Technical Marketing Engineer focused on AI training workloads and performance optimization for AMD GPUs. The role involves creating technical content, analyzing performance bottlenecks, and enabling customers to achieve optimal results across various stages of the AI model lifecycle, from pre-training to fine-tuning and reinforcement learning.

Software Development Engineer at AMD focused on developing and optimizing high-performance ML operators and their mapping onto AMD's hardware architectures. This role involves working with modern ML frameworks, intermediate representations, and performance optimization techniques for inference.

This Principal Open Source AI/ML Solutions Engineer role focuses on optimizing AI/ML workloads on AMD's GPU hardware. The engineer will be responsible for the architectural design, development, and implementation of GPU software components, including drivers and APIs, to enhance performance and efficiency for AI applications. The role involves working with AI frameworks, performance analysis, and contributing to open-source software solutions, aiming to unlock Generative AI efficiency.

Senior Staff Software Development Engineer at AMD focused on optimizing and developing deep learning frameworks for AMD GPUs. The role involves enhancing GPU kernels, deep learning models, and training/inference performance across multi-GPU and multi-node systems, collaborating with internal library teams and open-source maintainers. Key responsibilities include end-to-end optimization of distributed inference and RL solutions, optimizing performance on distributed computing environments, and leveraging compiler technologies. Requires strong C++ development in Linux, GPU kernel development, deep learning integration, and high-performance computing experience.

Senior Software Engineer focused on NPU firmware and AI acceleration, implementing features for efficient ML workload inferencing on NPU hardware, debugging applications and firmware, and contributing to future architecture.

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.