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 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Senior Emulation Methodology Engineer This role focuses on developing and deploying advanced hardware/software methodologies and tools for emulation and prototyping environments to accelerate product readiness. It involves applying platform knowledge, researching new technologies, and integrating verification interfaces. A key aspect is leveraging ML/AI techniques to scale and automate emulation workflows, and working with EDA partners to incorporate emerging capabilities. | Serve | 5 |
| SMTS Systems Design Eng. Senior Platform Hardware Design Engineer at AMD focusing on the design and development of state-of-the-art systems for data center AI acceleration markets. Responsibilities include leading cross-functional teams, defining system architecture, managing hardware development from inception to production, and ensuring optimal balance of cost and performance. | Serve | 5 |
| Physical Design Engineer - AI Methodology This role focuses on applying AI/ML techniques, including LLMs and predictive models, to analyze and optimize CPU core Physical Design (PPA) across the full design flow (RTL to tape-out). The engineer will build tools and dashboards to track design metrics and improve methodologies, collaborating with design, CAD, and architecture teams. | Serve | 5 |
| AI Infrastructure Engineer Seeking a DevOps/Platform Engineer to build and operate large-scale GPU compute infrastructure for AI/ML workloads, focusing on Kubernetes, orchestration systems, and developer-facing platform features. | Serve | 5 |
| Data Center Engineer This role focuses on the installation, validation, and technical support of AMD's Datacenter GPU hardware and software for AI/ML projects, specifically for OEM partners and enterprise customers. The engineer will build datacenter GPU containers, qualify software functionality, and assist in resolving hardware/software issues throughout the product lifecycle, collaborating with customers and program managers. | Serve | 5 |
| Data Center Engineer This role focuses on the installation, validation, and technical support of AMD's Datacenter graphics hardware/software subsystem projects, specifically for AI and Machine Learning workloads, for OEM partners and enterprise customers. The engineer will build datacenter GPU dockers and containers, qualify new software functionality, and assist in resolving hardware/software technical issues throughout the product lifecycle. | Serve | 5 |