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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| GPU Kernel Development Engineer GPU Kernel Development Engineer at AMD focused on optimizing deep learning frameworks (TensorFlow, PyTorch) for AMD GPUs. The role involves developing and optimizing GPU kernels, deep learning models, and improving training/inference performance across distributed systems, leveraging compiler technologies and low-level programming. Collaboration with internal GPU library teams and open-source maintainers is key. | ServePost-train | 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 |
| 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 |
| Sr. Software Development Engineer Senior Software Development Engineer focused on optimizing AI/ML models (CNN, Transformer, LLM, multimodal) for AMD hardware platforms. Responsibilities include developing quantization, low-precision, and compression features, building production-quality Python tools, and analyzing performance tradeoffs. Collaborates with researchers, framework engineers, and hardware experts. | ServePost-train | 7 |
| PMTS Software Applications Eng. This role is for a Principal Member of Technical Staff (PMTS) Software Development Engineer in AMD's AI Enterprise applications and platform engineering organization. The engineer will design, build, and evolve secure, reliable AI infrastructure applications and tools for deploying, running, and scaling ML and LLM workloads on cloud and GPU infrastructure. The role involves full-stack engineering, technical and strategic leadership, influencing roadmap and architecture, and partnering with product and customers. Key responsibilities include owning backend services and user-facing applications for AI/GPU and platform workflows, setting architectural direction for Kubernetes toolchain, optimizing systems for efficiency and reliability, and embedding engineering excellence. The role also involves customer interaction, leading initiatives from requirements to shipped outcomes, and mentoring engineers. Experience with GPU workloads, ML/LLM training or inference pipelines, and multi-tenant platform concerns is highly desirable. | ServeAgent | 7 |
| Senior Failure Analysis Engineer - Test Development This role focuses on developing advanced test methods for GPU accelerator platforms, specifically targeting elusive failures. It involves designing custom execution flows using stress-based scenarios, VPOD environments, and AI/ML workloads. The engineer will build test content to improve repeatability, shorten debug cycles, and increase confidence in root cause findings. A key aspect is shaping intelligent test systems that use internal engineering knowledge and live model inference to guide execution decisions in real time, translating vague symptoms into testable conditions. | Serve | 7 |
| ML/AI Engineer AMD is seeking an ML/AI Engineer to join their AI engineering team. The role involves developing, deploying, and testing ML/AI software tools, automating data analytics, and making strategy recommendations based on AI analysis. The candidate will work with Python, JavaScript, and C++ to enhance AI capabilities and ensure seamless AI development and integration. | Serve | 7 |
| Software Development Eng. Software Development Engineer at AMD focused on architecting Machine Learning Models for Generative AI, with a specialization in graphics technology. Requires strong Python/C/C++ skills and expertise in ML techniques, particularly around model architecture and applications in graphics. Experience with model distillation and image upscaling is preferred. | Post-train | 7 |
| Systems Design Engineer - AI Cluster Software Systems Design Engineer focused on AI cluster software, creating reference architectures, configuration guides, and reproducible experiments for AMD-based AI infrastructure. The role involves deep technical evaluations of AI stacks across compute, storage, networking, and observability, and developing tools to validate performance hypotheses. | ServeData | 7 |
| Applied AI & GPU Software Engineer Software Engineer focused on deploying and optimizing machine learning inference for commercial applications in content creation and CAE spaces, targeting performance and efficiency across heterogeneous platforms (GPU, NPU, CPU). | Serve | 7 |
| Senior Software Engineer – NPU Firmware & AI Acceleration 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. | Serve | 7 |
| Sr. Manager Packaging Engineering This role leads the design execution of next-generation Data Center GPU and MI programs, focusing on high-performance package designs. It involves leading cross-functional teams, driving operational excellence, and scaling execution using automation and AI-enabled methodologies. The role also includes team leadership, development, and process innovation, with a preference for experience in AI/ML applications within engineering workflows. | — | 5 |
| Software Development Engineer Software Development Engineer at AMD (Xilinx) to research, design, develop, and test operating systems-level software, compilers, and network distribution software for semiconductor operations. The role involves developing software and tools for design, infrastructure, and technology platforms, including operating systems, compilers, routers, networks, utilities, databases, and cloud-based tools. Requires experience with Python/Bash, machine learning, TensorFlow, Git, JavaScript, object-oriented design, and software debugging on macOS, Linux, or Unix. | Data | 5 |
| MTS Software Development Engineer Software Development Engineer at AMD to enable AI models, libraries, and applications for Instinct GPUs. This role involves researching, designing, developing, and testing operating systems-level software, compilers, and network distribution software for semiconductor operations. The engineer will work with ML engineers to push the boundaries of efficiency and performance for GPU computational accelerators, and develop software and tools for design, infrastructure, and technology platforms. Requires a Master's degree and two years of experience in software verification, C/C++/Python, debugging, code optimization, memory management, multi-threading, OS kernel development, and Linux/Windows internals. | Serve | 5 |
| Product Development Engineer This role involves researching, designing, developing, and testing operating systems-level software, compilers, and network distribution software for semiconductor operations. The engineer will develop software and tools for design, infrastructure, and technology platforms, including OS, compilers, and cloud-based tools. They will also develop, debug, and tune performance of new graphics hardware and determine hardware compatibility. The role requires experience with Linux/Unix/Windows OS, statistical analysis, data engineering, data science, Large Language Models, and React. | Data | 5 |
| Software Development Engineer Software Development Engineer to research, design, develop, and/or test operating systems-level software, compilers, and/or network distribution software for semiconductor operations. This role involves applying principles of computer science, engineering, and mathematical analysis, and developing software and tools in support of design, infrastructure, and technology platforms. The position requires experience in C/C++, CMake, machine learning, Linux/Windows system programming, software architecture, computer graphics, digital signal and image processing, AI, soft computing, NLP, database management, operating systems, data structures, algorithms, and distributed computing. | Data | 5 |
| Information Security Manager Information Security Manager role at AMD, focusing on protecting infrastructure at scale, including physical security of compute facilities and cybersecurity challenges in hardware and software R&D environments. Responsibilities include defining security standards, establishing controls for large-scale compute environments (GPU clusters, AI farms), IP protection, compliance, vulnerability management, and partner security. | — | 5 |
| Audio Video Systems Engineer This role supports a global audio-visual and collaboration technology footprint, ensuring operational excellence. Responsibilities include monitoring, troubleshooting, and maintaining video conferencing equipment and services, managing cloud video partners, and leveraging AI tools for reporting and efficiency. The role also involves project work, evaluating new technologies, and collaborating cross-functionally to deliver solutions and improve processes. | — | 5 |
| Senior Technical Program Manager - AI This role is for a Senior Technical Program Manager in AMD's AI engineering division, responsible for overseeing the end-to-end delivery of AI/ML software stacks. The role involves collaborating with various teams, defining and executing project plans, assessing technical feasibility, developing schedules, and acting as a liaison between R&D and partners. While the role is within an AI engineering division and requires familiarity with AI/ML and Generative AI, the core function is program management rather than direct AI/ML model development or research. | — | 5 |
| Technical Program Manager (Data Centers) Technical Program Manager for AMD's Data Center GPU organization, focusing on the Instinct GPU portfolio for AI and HPC. The role involves managing complex hardware and software programs, translating customer requirements, coordinating with various teams (engineering, software, manufacturing, business), tracking dependencies, resolving issues, and communicating program status. Experience with server platforms and data center environments is preferred. | — | 5 |
| SoC Physical Design Implementation Lead Lead SoC Physical Design Implementation for AMD's next-generation Instinct AI and data center processors, focusing on PPA optimization, sign-off, and methodology innovation including AI-driven automation for advanced nodes, chiplets, and 3D stacking. | — | 5 |
| Engineering Technician Engineering Technician role supporting lab infrastructure for AI Data Center Systems (Servers & GPUs), focusing on the bring-up, debug, and sustainment of servers, components, and GPU-based compute platforms. This role supports hardware, systems, and infrastructure engineering teams in enabling reliable, high-performance AI compute at scale. | — | 5 |