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 59 active AI-related roles in our index. The most common open titles are: DC-GPU Performance Modeling Engineer (3), Sr. Software Development Engineer (3), Data Center Engineer (2), MTS Software Development Engineer (2), Software Development Engineer (2). Most positions are in Engineering and Research.
AMD's active AI hiring is concentrated in: serving infrastructure (78%), data (10%), agents (5%). 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 (30 roles), India (13 roles), Poland (5 roles), China (5 roles).
Job postings at AMD most frequently mention: GPU Computing, Computer Architecture, Python, C++, PyTorch.
In the past 30 days, AMD has posted 70 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Sr. Staff Software Development Engineer - Collectives and Network optimization Senior engineer focused on optimizing AI pre-training and distributed inference performance on AMD GPUs. Responsibilities include strategy, architecture, optimization, tooling, and performance analysis across the software stack, with a focus on network and collectives optimization. Requires deep knowledge of hardware architecture, software optimization, AI frameworks, and distributed inference at scale. | ServePretrain | 9 |
| Sr. Software Development Engineer - Collectives and Network Software Development Engineer focused on optimizing AI pre-training and distributed inference performance on AMD GPUs. This role involves deep dives into network, NIC, and GPU hardware architecture, software optimization, performance modeling, and collaboration across hardware, software, and AI framework teams. |
| ServePretrain |
| 9 |
| Fellow, AI Workload Optimization Fellow, AI Software (Workload Optimization) at AMD. This role focuses on defining and driving the end-to-end software optimization strategy for AI workloads on AMD hardware, ensuring industry-leading performance. Responsibilities include leading profiling, analysis, and tuning of large-scale models, partnering with customers, and collaborating on hardware-software co-design. The role requires deep expertise in AI frameworks, ROCm, and performance optimization techniques. | ServePost-train | 9 |
| Sr. Fellow Machine Learning Engineer AMD is seeking a Sr. Fellow Machine Learning Engineer to join their Training At Scale team, focusing on the distributed training of large generative AI models on a large number of GPUs. The role involves improving training efficiency, performance, and debuggability of end-to-end training pipelines, and optimizing distributed training software stacks. The candidate will contribute to open source, stay updated on training algorithms, and influence AMD's AI platform direction. | Pretrain | 9 |
| Senior Software Development Engineer – LLM Inference Framework Senior Software Development Engineer focused on building and optimizing LLM inference frameworks and runtimes on AMD GPUs. The role involves architecting distributed inference solutions, improving performance and scalability, and contributing to open-source projects like vLLM and SGLang. Requires expertise in systems-level optimization, GPU architectures, and high-performance computing. | Serve | 9 |
| 多模态算法工程师（模型优化方向）/ Multimodal Algorithm Engineer (Model Optimization) This role focuses on optimizing multimodal foundation models, specifically Vision-Language Models (VLMs), Vision-Language-Action Models (VLAs), and World Action Models (WAMs), for AMD platforms. Responsibilities include training, compression, quantization, and inference optimization to enable next-generation embodied AI and multimodal agents. The role requires strong software engineering skills and collaboration with compiler and software teams. | AgentPost-train | 9 |
| Principal AI Performance Modeling Architect This Principal AI Performance Modeling Architect role at AMD focuses on defining GPU architecture specifications to enable massive LLM training and inference at scale. The role involves optimizing performance through innovative system design, parallelization strategies, and memory efficiency techniques, aiming for significant gains in both training and inference pipelines. It requires deep expertise in GPU microarchitecture, CUDA, and distributed ML systems, with a focus on transformer architectures and multi-modal models. | ServePost-train | 9 |
| Senior Agentic System & Application Engineer Senior Engineer to build agentic AI systems for HPC and GPU workloads, automating setup, job composition, debugging, and optimization. Role involves agent architecture, LLM inference/serving, HPC integration, and performance tooling, with a focus on correctness, reproducibility, and observability. Requires shipping production agentic systems and LLM inference/serving. | AgentServe | 9 |
| AI Agent Engineer Develops and orchestrates AI agent systems, including multi-agent architectures, MCP servers, and tool-use frameworks, leveraging machine learning models and data analysis to solve team problems. Requires strong Python/C++ skills and experience with agent frameworks. | Agent | 9 |
| Senior Staff Software Development Engineer- GPU/AI/ML Senior Software Development Engineer focused on optimizing the AI/ML software stack for AMD GPUs, covering GPU kernels, distributed training, and inference. The role involves co-designing hardware and software, improving foundation models and agentic systems performance, and contributing to the ROCm ecosystem. | ServePost-train | 8 |
| Software Development Engineer - Collectives and Network Software Development Engineer focused on optimizing AI pre-training and distributed inference performance on AMD GPUs. This role involves deep dives into network, NIC, and GPU hardware architecture, software optimization, performance modeling, and working with AI frameworks to achieve industry-leading performance for various AI models. | ServePretrain | 8 |
| Lead DCGPU Performance Engineer Lead DCGPU Performance Engineer at AMD responsible for measuring and characterizing the performance of Data Center GPU systems for AI workloads, focusing on training and inference. The role involves establishing robust measurement methodologies, ensuring reproducibility, executing AI benchmarks, validating data accuracy, and enhancing tooling infrastructure. Collaboration with various teams and providing reliable performance insights for decision-making are key aspects. | ServeData | 8 |
| AI Framework Eng. Software engineer focused on building and optimizing robust, efficient software components for high-performance execution of large language models and multimodal models across multi-GPU systems. The role involves collaborating with internal teams and open-source maintainers to improve throughput, latency, and scalability, with an emphasis on full-stack development within AI inference systems and model behavior. | Serve | 8 |
| Principle AI Software Engineer Seeking a Principal AI Software Engineer to lead the design and development of next-generation AI inference systems, intelligent model routing, and cloud-native deployment technologies for AMD Instinct GPUs. This role involves working with LLM serving, semantic routing, Kubernetes, Envoy, AI gateways, and open-source infrastructure to enable high-performance, production-ready AI software. | ServeAgent | 8 |
| Sr. Software Development Engineer Software engineer focused on optimizing AI inference systems for AMD GPUs, working on LLMs and multimodal models. Responsibilities include framework optimization, performance-conscious coding, profiling, and collaboration with internal and open-source teams. | Serve | 8 |
| 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. | ServePost-train | 8 |
| Fellow, AI Performance Software Engineer AMD is seeking an AI Performance Software Engineer to optimize AI software and libraries for their Instinct GPUs, focusing on inference and fine-tuning performance in datacenter and cloud environments. The role involves deep analysis of hardware bottlenecks and software performance, requiring strong C++ and Python skills within major DL frameworks. | ServePost-train | 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 |
| Senior Staff AI Software System Design Engineer Senior Staff AI Software System Design Engineer at AMD, focusing on custom development, debugging, optimization, and technical support of machine learning software for AMD server GPUs. The role involves working with AI frameworks, distribution, kernel operators, compilers, and runtimes, with a strong emphasis on performance optimization for inference and training workloads. Responsibilities include supporting customer Proofs of Concept (PoCs), driving custom AI software requirements from POC to release, and collaborating with various teams to optimize training and inference solutions. | ServePost-train | 8 |
| AI Software System Design Engineer AI Software System Design Engineer at AMD responsible for developing, debugging, optimizing, and supporting machine learning end-to-end custom software solutions for AMD server GPUs. This involves deep expertise in ML kernel operators, programming languages like Triton/CUDA/PTX, and development libraries, with a focus on performance optimization for inference and training workloads. The role requires strong C++ and Python skills, hands-on experience with AI use cases, pipelines, frameworks, parallel programming, and debugging. | ServePost-train | 8 |
| Senior AI Software Architect - Autonomous Systems Senior AI Software Engineer responsible for designing, implementing, and optimizing AI-driven software solutions for autonomous systems, focusing on model optimization, inference pipelines, GPU acceleration, and system performance profiling for edge and cloud deployments. | ServeData | 8 |
| Senior LLM Inference Performance Engineer Senior LLM Inference Performance Engineer at AMD, focusing on performance analysis and optimization of production-grade AI services within the AIM ecosystem. Responsibilities include measuring, analyzing, and optimizing LLM/AI service performance (latency, throughput), designing performance measurement methodologies, and developing tooling for AI model deployment analysis and performance tuning at scale. Requires experience with LLM serving, performance metrics, Python, and containerization technologies like Docker and Kubernetes. | Serve | 8 |
| GPU Kernel Development Engineer GPU Kernel Development Engineer at AMD focused on optimizing deep learning frameworks (TensorFlow, PyTorch) and GPU kernels for AMD GPUs to improve training and inference performance on multi-GPU and multi-node systems. This involves low-level programming, compiler technologies, and collaboration with internal and open-source teams. | ServePost-train | 8 |
| AI Software Development Engineer AI Engineer at AMD focused on end-to-end Agentic AI development, including prompt engineering, context engineering, and production deployment. The role involves designing, building, and deploying AI agents integrated with enterprise systems, working closely with users in real-world environments (Forward Deployment Engineering). Responsibilities include developing RAG pipelines, optimizing agent performance, and integrating solutions with APIs and databases. | Agent | 8 |
| AI Software Development Eng. AI Software Development Engineer at AMD focused on optimizing deep learning frameworks and inference/training performance on AMD GPUs. The role involves end-to-end optimization of distributed inference and RL solutions, collaboration with internal GPU library teams and open-source maintainers, and working with cutting-edge compiler technologies and distributed computing environments. | ServeAgent | 8 |
| Director of Software Validation Engineering – ROCm Director of Test Engineering for ROCm software stack, focusing on AI training, inference, and HPC workloads. The role involves leading and transforming the quality function by scaling the team's impact through AI and agentic tooling, building an autonomous quality organization. Responsibilities include defining test strategy, building continuous testing infrastructure, and driving adoption of AI-assisted testing workflows. | ShipServe | 8 |
| Sr. AI Software Engineer Senior AI Engineer role focused on end-to-end Agentic AI development, including prompt engineering, context engineering, and production deployment of AI agents integrated with enterprise systems. Responsibilities include designing and building AI agents with multi-step workflows, tool usage, and memory, implementing function calling, developing RAG pipelines, and optimizing performance. The role also involves prompt/context engineering, developing evaluation frameworks, and forward deployment engineering to integrate solutions into live business workflows, working directly with stakeholders, and monitoring production systems. | Agent | 8 |
| AI Software Development Engineer AI Engineer role focused on end-to-end Agentic AI development, including prompt engineering, context engineering, RAG pipelines, and production deployment of AI agents integrated with enterprise systems. Responsibilities include designing and building AI agents with multi-step workflows, tool usage, memory, function calling, and structured outputs, as well as developing RAG pipelines and context management strategies. The role also involves forward deployment engineering, integrating AI solutions into live business workflows, and working with stakeholders to refine use cases and monitor production systems. | Agent | 8 |
| Principal/Senior Robotics AI Architect Seeking a Robotics AI Architect to define and scale next-generation Physical AI systems, focusing on complex robotic platforms. The role involves architectural leadership across multi-layer AI control loops, co-engineering with lighthouse customers, and influencing AI SDKs, runtime, and reference architectures for broad ecosystem scalability. | Agent | 8 |
| Post-Training Platform Infrastructure Engineer Engineer focused on post-training and inference infrastructure for large-scale models, optimizing P/D disaggregation, KV cache lifecycle, and offloading mechanisms for both inference and RL systems. Requires strong systems engineering, distributed systems, and ML infrastructure background with proficiency in Python/C++ and GPU-accelerated workloads. | ServePost-train | 8 |
| Software Development Engineer Software Development Engineer at AMD focused on end-to-end Agentic AI development, including prompt engineering, context engineering, RAG pipelines, and production deployment of AI agents integrated with enterprise systems. The role involves designing, building, and deploying AI agents with multi-step workflows, tool usage, and memory, as well as implementing function calling, structured outputs, and optimizing for reliability and latency. It also includes forward deployment engineering, integrating AI solutions into live business workflows, and working with stakeholders to refine use cases and monitor production systems. | Agent | 8 |
| AI Product Performance Engineer This role focuses on designing, implementing, and optimizing high-performance GPU kernels for AI/ML workloads, specifically for data center AI applications like LLMs and Generative AI. The engineer will analyze and optimize kernel execution for latency and throughput, evaluate performance impact on full-stack AI models, and use profiling tools to identify bottlenecks. Collaboration with software stack teams to integrate optimized kernels into high-level frameworks and inference engines is also a key responsibility. | Serve | 8 |
| Technical Marketing Engineer – AI Training Workloads & Performance 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. | Post-trainPretrain | 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 |
| Principal GenAI Inference Optimization Engineer This role focuses on improving the performance, efficiency, and scalability of generative AI inference workloads on AMD GPU platforms. The Principal GenAI Inference Optimization Engineer will optimize latency, throughput, and cost efficiency for large-scale models, working across the software-hardware stack, including kernels, runtimes, and serving frameworks. | Serve | 8 |
| GPU Performance Architect This role focuses on GPU performance architecture, analyzing and optimizing AI/ML applications and LLM kernels. The candidate will work on simulation models, identify bottlenecks, and propose solutions for performance improvements, with a focus on graphics cores and SoCs. Experience with LLM kernel development using PyTorch, Triton, CUDA, or HIP is preferred. | Serve | 7 |
| Lead - SoC Architect Lead SoC Architect role focused on defining the architecture for next-generation physical AI SoCs, including AI acceleration, memory systems, and interconnects. The role involves system-level innovation, cross-functional guidance, and customer collaboration, with a strong emphasis on performance, power, and cost trade-offs for AI and other emerging workloads. | Serve | 7 |
| MTS Software Development Engineer Software Development Engineer at AMD to research, design, develop, and test operating systems-level software, compilers, and network distribution software. The role involves developing AI software for production AI features, such as LLM-powered agents for GPU kernel optimization, using compiler feedback, benchmarking, and reinforcement learning. Additionally, the role includes developing AI systems courses on GPU optimization, transformer architectures, and RL algorithms, and project managing course development. | ServeAgent | 7 |
| Sr. Software Development Engineer Sr. Software Development Engineer at AMD to research, design, develop, and/or test operating systems-level software, compilers, and/or network distribution software for semiconductor operations. The role involves developing and deploying deep learning or machine learning solutions for high-performance computing devices, debugging, performance analysis, and test design. Requires experience with C, C++, Python, AI frameworks (PyTorch, TensorFlow, vLLM), GPU computing (HIP, CUDA, OpenCL), GPU architecture, code optimization, and source code control systems. | Serve | 7 |
| Sr. Software Development Engineer Sr. Software Development Engineer at AMD to research, design, develop, and/or test operating systems-level software, compilers, and/or network distribution software for semiconductor operations, applying principles and techniques of computer science, engineering, and mathematical analysis. This includes designing, developing, troubleshooting, and debugging software programs for data analysis and modeling to help system validation, and developing software and tools in support of design, infrastructure, and technology platforms. The role also involves researching, designing, developing, and/or testing frameworks useful for system validation, applying principles and techniques learned in engineering, in particular generative AI-based models and process optimization. Experience with C, C++, Python, software verification, debugging, system workflow validation, GPU programming, code optimization, machine learning, Generative AI, and Git is required. | Data | 7 |
| Principal SoC Performance Architect-Microbenchmarks This Principal SoC Performance Architect role at AMD focuses on analyzing, characterizing, and optimizing the performance of next-generation Data Center GPU (DCGPU) platforms for AI training, inference, and HPC workloads. The role involves developing and maintaining microbenchmarks and system-level workloads across pre-silicon and post-silicon environments, identifying bottlenecks across the hardware/software stack, and providing actionable insights to improve performance. It requires deep understanding of GPU architecture, parallel computing, and performance profiling tools. | Serve | 7 |
| Full Stack AI Software Development Full Stack AI Software Development role at AMD, focusing on developing and supporting AI/ML solutions and tools for business units. The role involves generative AI, application development, and machine learning, with a preference for experience with agentic AI tools and related frameworks. | Agent | 7 |
| Systems Engineer – China Customer Enablement (Mandarin) Systems Engineer role focused on enabling China-based customers with AMD's AI GPU solutions, requiring expertise in server platform hardware, system design, and customer engagement. The role involves translating customer needs into system requirements, providing architectural guidance, and supporting end-to-end system development and deployment for AI server designs. | Serve | 7 |
| Software Development Engineer - AI Software Development Engineer focused on building and supporting AI solutions within AMD business units, involving generative AI, application development, and machine learning. | Agent | 7 |
| Software Engineer - Autonomy and Vision Systems Software Engineer role focused on developing and integrating embedded software, computer vision, and real-time processing pipelines for intelligent systems in robotics, automotive, industrial, and edge AI applications. The role involves optimizing software for various AMD computing architectures, including embedded x86, adaptive SoCs, and AI-accelerated edge devices, with a strong emphasis on deterministic performance and low latency. | Serve | 7 |
| Integration Engineer - Perception and Platform Senior Software Engineer on the Physical AI team, focusing on deploying and optimizing AI inference workloads and perception pipelines on AMD adaptive computing platforms for robotics, automotive, and intelligent edge applications. This role involves working with AI models, hardware acceleration, and embedded systems to build intelligent machines. | ServeAgent | 7 |
| AI Systems Architect – GPU Software/Hardware Co-Design AMD is seeking an AI Systems Architect to work on software and hardware co-design for GPU AI compute solutions. The role involves co-optimizing AI workloads, contributing to open-source AI frameworks, and designing new technologies for future compute platforms. Experience with AI infrastructure, kernel optimization, and GPU architecture is preferred. | 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 to enhance performance and optimize power for next-generation data center systems, collaborating with architecture, design, and software teams. | Serve | 7 |
| 3D IC and ADVANCED PACKAGING CAD ENGINEER This role focuses on integrating AI and ML capabilities into CAD and EDA workflows for 3D-IC and advanced packaging design. The engineer will develop and deploy agentic AI systems, LLM-assisted automation, and ML-based optimizations to improve design quality of results (QoR) in areas like timing, area, and performance. The role requires a strong silicon hardware design background, software/scripting proficiency, and hands-on experience applying AI to CAD/EDA problems. | Agent | 7 |