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 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 |
| 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 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 |
| Principal/Senior Robotics AI Architect Seeking a Robotics AI Architect to define and scale next-generation Physical AI systems, focusing on complex robotic platforms. The role involves architectural leadership across multi-layer AI control loops, co-engineering with lighthouse customers, and influencing AI SDKs, runtime, and reference architectures for broad ecosystem scalability. | Agent | 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 |
| Staff AI Research Engineer AMD is seeking a Staff AI Research Engineer to join their Llama team. The role involves researching, prototyping, and implementing cutting-edge generative AI techniques, including post-training reasoning and RL methods. A key responsibility is translating these advanced AI concepts into clear educational content for a broad developer audience, leveraging AMD's high-performance chips. The position also requires staying current with AI research and contributing to internal knowledge sharing, with potential development in GPU kernel writing and DSLs. | Post-train | 8 |
| Technical Marketing Engineer – AI Training Workloads & Performance Technical Marketing Engineer focused on AI training workloads and performance optimization for AMD GPUs. The role involves creating technical content, analyzing performance bottlenecks, and enabling customers to achieve optimal results across various stages of the AI model lifecycle, from pre-training to fine-tuning and reinforcement learning. | Post-trainPretrain | 8 |
| AI Safety Business Development Manager This role focuses on establishing and leading global Trustworthy AI strategy, aligning with standards like ISO/IEC 42001 and the EU AI Act. It involves designing and implementing AI safety guardrails, dialogue governance, jailbreak defense, and accuracy assurance pipelines, with a specific emphasis on AI Agentic Risk Governance. The position also integrates hardware-based trust features (attestation, secure enclaves) into safety solutions and defines 'trusted inference modes'. A significant part of the role involves strategic partnership and ecosystem leadership, building collaborations with universities, governments, and industry bodies to architect safe AI deployment patterns for national and enterprise initiatives. | Eval GateAgent | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Director AI End-System Performance and Customer Co-Engineering Director of AI End-System Performance and Customer Co-Engineering at AMD, leading customer engagements for successful deployment of AI on edge and physical AI platforms, focusing on system-level optimization and reference architectures for markets like robotics and digital cockpits. The role involves leading a multidisciplinary team to bridge AI models, toolchains, system software, and silicon for scalable, production-grade systems. | ShipAgent | 7 |
| Principal Software Quality Engineer – GPU & Machine Learning Principal Software Quality Engineer at AMD focusing on ROCm software validation for GPU and Machine Learning workloads. The role involves defining and owning the end-to-end validation architecture, setting release qualification gates, driving compute workload validation (including LLM training and inference), architecting test infrastructure, and leading complex debugging efforts. A key requirement is hands-on experience with agentic AI engineering environments for daily work. | ShipServe | 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 Development Engineer, AI Open-Source Software Senior Software Development Engineer at AMD focusing on ROCm GPU-compute mathematical libraries for AI and HPC applications. The role involves developing, optimizing, and tuning software libraries to maximize hardware utilization and deliver industry-leading performance on current and future processors. Requires strong C++, Python, and GPU software development skills, with a focus on performance analysis and quality issue resolution. | 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 Product Reliability Engineering Senior Product Quality Engineer at AMD focusing on improving quality and reliability of Server CPUs and Instinct accelerators by developing and deploying ML/AI solutions for manufacturing and test data analysis. The role involves identifying use cases, building production-ready analytics, performing root-cause analysis, and driving adaptive test strategies. | Agent | 7 |
| MTS Software System Design Engineer This role focuses on designing, testing, and validating reference architectures for large-scale AI training and inference clusters. The engineer will develop tools for efficient cluster management, create documentation, serve as a technical interface with customers, conduct proof-of-concept implementations, and evaluate/benchmark infrastructure performance. Expertise in Kubernetes, AI/ML workloads, datacenter networking, GPU computing, and performance optimization for inference deployments is required. | Serve | 7 |
| SMTS Software Development Engineer Software Development Engineer at AMD to research, design, develop, and test operating systems-level software, compilers, and network distribution software for semiconductor operations. Focus on analyzing shader algorithms, optimizing performance, and developing algorithms/shaders for performance improvement on GPUs, including Machine Learning pipelines. | Serve | 7 |
| MTS Software Development Engineer Software Development Engineer at AMD focused on developing AI software for GPU kernel optimization using LLM-powered agents, compiler feedback, and reward-driven loops. Also involved in developing AI systems courses on GPU optimization, transformers, and reinforcement learning, with project management responsibilities. | ServeAgent | 7 |
| Sr. Software Development Engineer This role focuses on researching, designing, and developing security architectures for semiconductor and cryptographic systems, with a specific emphasis on privacy-preserving machine learning using homomorphic encryption for secure AI operations on GPUs. It involves side-channel analysis, strengthening TEE and SEV systems, and designing secure computation frameworks for ML accelerators, contributing to FIPS certification readiness. | Data | 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 software and tools for design, infrastructure, and technology platforms, with a focus on AI and next-generation computing experiences. Requires experience with ML model serving frameworks, multi-GPU inference, and GPU architecture. | Serve | 7 |
| Sr. Software Development Engineer Sr. Software Development Engineer at AMD (Xilinx) to research, design, develop, and test operating systems-level software, compilers, and network distribution software for semiconductor operations. Focus on machine learning model development, optimization, quantization, pruning, code generation, and acceleration platforms (GPU, TPU, APU, FPGAs) for LLMs. | Serve | 7 |
| Sr. Software Development Engineer This role focuses on developing and designing software for semiconductor operations, specifically involving machine learning algorithms, back-end code generation, and chip compilers within the MLIR framework. The engineer will research, design, develop, and test operating systems-level software, compilers, and network distribution software, applying principles of computer science and engineering. | Data | 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 |