AMD currently has 59 active AI-related roles in our index. The most common open titles are: Data Center Engineer (2), Lead Packaging Automation Engineer (2), Software Development Engineer (2), AI Framework Engineer, AI Software Development Eng.. Most positions are in Engineering and Research.
AMD's active AI hiring is concentrated in: serving infrastructure (54%), agents (19%), application (14%). 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 (29 roles), India (8 roles), Poland (6 roles), China (5 roles).
Job postings at AMD most frequently reference: model serving, inference infra, fine tuning, agent orchestration, evals.
In the past 30 days, AMD has posted 68 new AI-related roles. That is a +209% change versus the prior 30 days (22 → 68).
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.
| 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 |
| 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 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 |
| 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 |
| 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 |
| ML/AI Architect AMD is seeking an ML/AI Architect to lead software engineering efforts focused on improving the performance of key applications and benchmarks, with a specific emphasis on AI and Neural Networks within graphics technology. The role requires expertise in low-level programming, Python, C/C++, and machine learning techniques applied to graphics. | Serve | 7 |
| Lead Performance and Optimization Engineer Lead Performance and Optimization Engineer at AMD, focusing on optimizing ML inference performance on server-class CPUs using EPYC-optimized ML libraries and common frameworks. Responsibilities include benchmarking, performance debugging, OS/BIOS tuning, thread/core affinity, multi-instance execution, and automation using Python/Bash. Requires strong understanding of CPU architecture, Linux performance tuning, ML inference execution on CPU, and proficiency with performance analysis tools. | Serve | 7 |
| Fellow AI Compiler Engineer AMD is seeking an engineering leader for their AI team to enhance compiler infrastructure for data center GPU platforms, focusing on AI applications. The role involves setting technical direction, optimizing performance, mentoring staff, and contributing to the open-source LLVM community. Responsibilities include designing and implementing LLVM backend passes and new code generation infrastructure, partnering with hardware and software teams, and ensuring world-class performance, correctness, and stability of the compiler toolchain. | 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 |
| Principal Software Engineer (AI Inference / Distributed Systems) Principal Software Engineer focused on optimizing AI inference performance and distributed systems at AMD, working with the latest hardware and software technologies. Responsibilities include developing techniques for scale-up/scale-out inference, creating methods and tooling for dynamic resource utilization in inference, and supporting the ROCm ecosystem. | Serve | 7 |
| Senior AI/ML Software Use Cases Validation Engineer Senior AI/ML Software Use Cases Validation Engineer at AMD in Bangalore, India. Focuses on end-to-end AI pipeline validation, benchmarking, and performance optimization across Linux platforms, including model training, conversion, optimization, kernel execution, and inference accuracy. Requires strong Python scripting, automation, ML fundamentals (deep learning, LLMs), experience with AI frameworks (PyTorch, TensorFlow, ONNX Runtime), and accelerators (ROCm/HIP, CUDA, OpenCL). | ServePost-train | 7 |
| Principal Systems Design Engineer Principal Systems Design Engineer at AMD to design and implement compilers based on MLIR fused models for NPU/GPU execution, optimize performance through fusion and tiling, and debug system integration issues. Requires strong programming, system architecture, and analytical skills. | Serve | 7 |
