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 |
| 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 |
| 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 |
| 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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Solution Architect – Physical AI Solution Architect for Physical AI products at AMD, focusing on safety-critical and mission-critical embedded systems that interact with the real world. The role involves planning, architecting, and designing next-generation Physical AI platforms and customer solutions across various markets, working with silicon, software, and system architecture. Key responsibilities include defining silicon features and software stacks, architecting heterogeneous AI systems (CPU+GPU+NPU, FPGA), and evaluating system-level tradeoffs for real-time, deterministic, and safety-constrained deployments. | Serve | 7 |