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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Sr. Manager Software Development Senior Manager of Graphics Research to lead a team of researchers and engineers advancing GPU architecture, graphics algorithms, rendering technologies, and visual computing. The role involves defining research strategy, investigating next-generation rendering techniques, overseeing GPU architecture graphics features, and transitioning innovations into products. It also includes evaluating and integrating AI/ML-driven graphics techniques, managing and mentoring the team, and communicating progress to stakeholders. The role is at the intersection of cutting-edge research and product impact. | ShipPost-train | 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 |
| Principal Software Development Engineer – Compiler & ML Acceleration This Principal Software Development Engineer role focuses on developing compiler technology and MLIR-based infrastructure to optimize the performance of AI workloads, specifically LLMs, on AMD's accelerator architectures. The role involves designing and implementing compiler flows, optimizing ML inference, and working cross-functionally to align compiler capabilities with hardware. | 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 |
| 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 |
| 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 |
| 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 |
| Principal Robotics Simulation Architect This role focuses on architecting and advancing simulation solutions for robotic systems, with a strong emphasis on integrating AI/ML for reinforcement learning, synthetic data generation, and autonomous behavior training. It involves building scalable cloud-based simulation infrastructure and developing sim-to-real/real-to-sim pipelines to minimize the reality gap. The role also includes designing SIL and HIL testing frameworks. | AgentData | 7 |
| AI Framework Engineer Software engineer at AMD focused on optimizing the performance of AI inference frameworks and applications on AMD hardware. This role involves developing and validating optimization features, working with LLM frameworks like vLLM and SGLang, and contributing to AI operations libraries and kernel implementations. The engineer will also perform performance analysis using profiling tools. | Serve | 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 |
| Datacenter and AI Infrastructure Silicon Performance Architect This role focuses on optimizing the performance of AMD's datacenter and AI infrastructure through hardware and software co-optimization, performance analysis, and influencing product roadmaps. It involves analyzing AI/ML workloads, developing AI/ML-based infrastructure for automation, and collaborating with partners to improve performance and TCO. The role requires expertise in microarchitecture, performance analysis tools, and datacenter/AI workload characterization. | Serve | 7 |
| Senior Data Scientist – People Analytics Senior Data Scientist role focused on People Analytics, leveraging advanced analytics, predictive modeling, and AI-driven insights to inform talent and organizational decisions. The role involves building scalable data products and AI agents, partnering with HR leaders, and shaping the long-term People Analytics strategy. Experience with Dataiku, Power BI, Python/R, and deploying ML models is desired. | AgentData | 7 |
| Software Solutions Architect This role focuses on architecting and delivering end-to-end software solutions for enterprise AI inferencing, leveraging AMD hardware. It involves customer engagement, performance optimization of AI workloads on AMD GPUs, and cross-functional collaboration to influence product roadmaps. The ideal candidate is a systems thinker and hands-on builder with experience in enterprise solution delivery and AI/ML inference stacks. | ServeAgent | 7 |
| Lead Packaging Automation Engineer This role focuses on developing and deploying AI-assisted workflows and automation for advanced packaging design in the semiconductor industry. The Lead Packaging Automation Engineer will optimize design stages using AI/ML, transition to agentic design models, and build closed-loop optimization systems. | Agent | 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. Product Manager Senior Product Manager for AMD's Data Center GPU organization, focusing on high-performance computing and AI infrastructure. The role involves defining, championing, and evangelizing hardware solutions, partnering with various engineering and sales teams, and developing product value propositions based on workload and system requirements. Requires deep technical fluency, strong business acumen, and experience shipping complex semiconductor or datacenter systems. | — | 5 |
| Director – Hyperscale, HPC & Sovereign AI Deployment and Fleet Operations Director role leading a team responsible for enabling successful deployment, adoption, and lifecycle support of AMD compute and AI solutions across Cloud, HPC, and Sovereign AI customers. Focuses on guiding customers through new product introductions, deployment readiness, production ramp, and long-term fleet sustainment. | — | 5 |
| Senior AI Cluster Hardware Engineer This role focuses on optimizing the performance of GPU clusters, specifically the RDMA networks used in AI clusters, by analyzing data flows between GPU, NIC, and the cluster network. Responsibilities include scalability testing, performance profiling and tuning, documentation, and collaboration with hardware and software teams. The ideal candidate has a strong background in GPU architectures, parallel computing, and system-level performance tuning. | — | 5 |
| SoC Performance Modeling & Architecture Engineer Seeking a SoC Performance Modeling & Architecture Engineer to define, analyze, and optimize next-generation SoCs, focusing on performance-per-watt and shaping future silicon roadmaps. Responsibilities include leveraging and maintaining performance simulators, exploring architectural space, modeling hardware/software interactions, characterizing workloads (including ML/AI), evaluating NoC and memory hierarchy, and conducting PPA trade-off studies. | Serve | 5 |
| Sr. Sys/Test Validation Engineer This role focuses on manufacturing test solutions, automation, and validation for AMD's Datacenter Accelerated Computing products, specifically GPUs used in AI, ML, and HPC applications. The engineer will develop test strategies, debug hardware/software issues, contribute to automated diagnostic generation, and define manufacturing hardware test solutions. | — | 5 |
| Manager Sys/Test Validation Engineer This role is for a System Test Engineering Manager focused on AMD's Datacenter Accelerated Computing products, specifically for manufacturing test solutions and automation, validation, and cross-functional program management for datacenter GPUs. The role involves developing test strategies, debugging hardware/software issues, contributing to automated diagnostic generation, and supporting test content development in Python. While the company mentions AI/ML applications and the products are used for AI, the core of the role is in manufacturing test and validation of hardware, not in building or researching AI models themselves. | — | 5 |
| AI Customer Engineering Customer Co‑Validation Lead This role leads customer-facing validation strategy for AMD Instinct™ GPU platforms, focusing on co-developing end-to-end system validation with hyperscale, enterprise, and MDC partners. The lead will own technical relationships, drive debug across complex systems (GPU, CPU, NIC, firmware, ROCm, AI software stack), and translate learnings into product improvements. While the role uses AI tools and deals with AI performance, its core function is system-level validation and customer engineering, not direct AI model development. | — | 5 |