AMD currently has 35 active AI-related job listings. The majority of these roles, 66%, are focused on serving infrastructure. Engineering is the dominant function, with 32 positions. Frequent technical tags include model_serving, inference_infra, and evals, suggesting a focus on the deployment and evaluation of AI models. In the last 30 days, AMD posted 37 new AI roles.
AMD currently has 62 active AI-related roles in our index. The most common open titles are: DC-GPU Performance Modeling Engineer (3), Data Center Engineer (2), Lead Packaging Automation Engineer (2), 3D IC and ADVANCED PACKAGING CAD ENGINEER , AI Framework Engineer. Most positions are in Engineering and Research.
AMD's active AI hiring is concentrated in: serving infrastructure (73%), agents (13%), application (6%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
AMD is hiring AI talent in: United States (27 roles), India (13 roles), China (7 roles), Canada (6 roles).
Job postings at AMD most frequently mention: GPU Computing, Computer Architecture, Compiler Design, Python, Performance Profiling.
In the past 30 days, AMD has posted 55 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| GPU Performance Modeling & Optimization Engineer Seeking an experienced GPU Performance Modeling and Optimization Engineer to focus on pre-silicon performance modeling, feature exploration, and workload optimization, as well as post-silicon characterization, hardware-software correlation, and performance debug for upcoming SoCs/GPUs. The role involves optimizing for both traditional graphics and cutting-edge compute/AI workloads, including Transformer-based models and LLMs. | Serve | 8 |
| Lead GPU Kernel Optimization Engineer This role focuses on optimizing low-level GPU kernels for accelerating the inference and training of large machine learning models. It involves multi-GPU and multi-node optimization, performance profiling, and leveraging parallel computing techniques. The candidate will work with frameworks like PyTorch and VLLM, and requires deep expertise in CUDA, GPU programming, and C++ optimization. | Serve |
| 8 |
| Lead Engineer - AI Lead Engineer for AI at AMD, focusing on developing and deploying AI-powered tools and platforms to enhance RTL design and verification productivity within the IP organization. The role involves owning the architecture, development, integration, and adoption of AI solutions, including ML/LLM models and data pipelines, into EDA workflows and CI/CD systems. The goal is to drive process transformation and enterprise-scale automation for hardware engineering teams. | Agent | 8 |
| Lead AI/ML Software Use Cases Validation Engineer Lead AI/ML Software Use Cases Validation Engineer at AMD in Bangalore, India. This role focuses on validating AI/ML compute stacks and Physical AI SDKs, leading end-to-end AI pipeline validation, benchmarking, and performance optimization on Linux platforms. The engineer will work with various teams to deliver production-quality AI solutions aligned with customer use cases, focusing on model training, conversion, optimization, kernel execution, inference accuracy, and system-level optimizations. | ServeData | 8 |
| DC-GPU Performance Modeling Engineer This role focuses on architecting, analyzing, and optimizing high-performance GPU-centric SoCs for Machine Learning workloads. The engineer will develop performance models and methodologies to enhance performance and optimize power for next-generation data center systems, collaborating with architecture, design, and software teams. | Serve | 7 |
| DC-GPU Performance Modeling Engineer This role focuses on architecting, analyzing, and optimizing high-performance GPU-centric SoCs for Machine Learning workloads. The engineer will develop performance models and methodologies, propose solutions for performance and power optimization, and collaborate with various teams on hardware/software co-design for next-generation data center systems. Experience with ML models, distributed training, and inference is preferred. | Serve | 7 |
| Lead/Staff AI-ML Software Engineer Lead/Staff AI-ML Software Engineer at AMD responsible for developing and optimizing AI/ML specific C/C++ kernels and dataflow schedules for AMD Ryzen Processors with XDNA NPUs, focusing on mapping LLMs and Stable Diffusion networks. The role involves vector processor optimization, performance profiling, tuning, testing, and validation. | Serve | 7 |
| Sr. Staff/Principal Validation Engineer- AI/ML This role focuses on validating AI/ML workloads on GPU infrastructure and leading the adoption of Agentic AI to transform test strategy, planning, and solution development. The engineer will architect and implement AI agents to automate critical workflows across software development, testing, and release management, establishing best practices for applying AI across engineering workflows. | AgentServe | 7 |
| Staff/Principal Engineer - AI/ML & System-Level Validation Staff/Principal Engineer focused on validating ROCm software for AMD Instinct GPU platforms, covering end-to-end validation architecture, release-qualification gates, system-level testing, and compute workload characterization (including LLM training/inference). The role involves architecting test infrastructure, championing agile quality engineering, leading debug efforts, and influencing roadmaps, with a strong emphasis on using AI/ML agentic tools for engineering productivity. | ServeAgent | 7 |
| Senior ML Compiler Engineer Senior ML Compiler Engineer role focused on designing, developing, and optimizing ML compilers for AMD NPUs, debugging system-level issues, and ensuring performance improvements for ML models. | Serve | 7 |
| Lead Performance and Optimization Engineer Lead Performance and Optimization Engineer at AMD, focusing on optimizing ML inference performance on server-class CPUs using EPYC-optimized ML libraries and common frameworks. Responsibilities include benchmarking, performance debugging, OS/BIOS tuning, thread/core affinity, multi-instance execution, and automation using Python/Bash. Requires strong understanding of CPU architecture, Linux performance tuning, ML inference execution on CPU, and proficiency with performance analysis tools. | Serve | 7 |
| Principal Open Source AI/ML Solutions Engineer 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. | Serve | 7 |
| Senior AI/ML Software Use Cases Validation Engineer Senior AI/ML Software Use Cases Validation Engineer at AMD in Bangalore, India. Focuses on end-to-end AI pipeline validation, benchmarking, and performance optimization across Linux platforms, including model training, conversion, optimization, kernel execution, and inference accuracy. Requires strong Python scripting, automation, ML fundamentals (deep learning, LLMs), experience with AI frameworks (PyTorch, TensorFlow, ONNX Runtime), and accelerators (ROCm/HIP, CUDA, OpenCL). | ServePost-train | 7 |
