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 50 new AI-related roles. That is a -28% change versus the prior 30 days (69 → 50).
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| GPU Hardware Security Architect This role is for a GPU Hardware Security Architect at AMD, focusing on defining and implementing security features for next-generation GPUs across AI/ML, Compute, and Gaming products. Responsibilities include threat modeling, access-path analysis, security architecture design, and ensuring compliance with industry standards. The role involves architecting new GPU algorithms for security without compromising performance and collaborating with various hardware and software teams. While AI/ML is a domain where security is applied, the core craft is hardware security architecture, not building AI models themselves. | — | 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 |
| Platform SoC Debug Lead Engineer This role focuses on leading platform and SoC debug for EPYC/AI server platforms, ensuring quality and milestone achievement. It involves deep collaboration with silicon, platform, firmware, and software teams to resolve critical issues and improve debug methodologies. The engineer will work on high-speed data-center I/O, RAS features, and provide root cause analysis for various platform and SoC issues. | — | 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 |
| Technical Program Manager - Server Customer Engineering, Enterprise AI Product Line Technical Program Manager for AMD's Enterprise AI Product Line, focusing on server customer engineering. The role involves leading end-to-end delivery of AI solutions, managing programs from development through End-of-Life, and coordinating cross-functional teams to deliver production-ready AI solutions at scale. The TPM will be the primary contact for enterprise customers, ensuring alignment between customer goals and AMD roadmaps, driving release readiness, and maintaining production stability for critical datacenter deployments. | — | 5 |
| Strategic Account Executive - Federal Civilian Strategic Account Executive with deep Federal Civilian market experience to drive growth, market penetration, and strategic account expansion across AMD’s Data Center, AI, and Commercial Client portfolio. This role is responsible for developing new business opportunities, expanding strategic engagements, and managing a qualified pipeline across Federal Civilian agencies and ecosystem partners. The successful candidate will possess a strong understanding of Federal Civilian priorities, acquisition environments, and emerging technologies—including AI, cloud, data center modernization, and secure computing architectures. | — | 5 |
| Privacy Program Manager This role focuses on building, scaling, and operationalizing a global privacy program by leveraging AI, data, and automation. The Privacy Program Manager will design and implement privacy processes, support risk assessments, develop dashboards, and manage data subject rights processes. The role emphasizes using AI and automation to improve program efficiency and compliance. | — | 5 |
| Senior EMC/RFI Design and Test Engineer This role is for a Senior EMC/RFI Design and Test Engineer at AMD, responsible for ensuring AMD's ICs, platforms, and systems meet electromagnetic capability and radio frequency interference requirements. The role involves design work, developing guidelines, performing validation tests, and assisting with certification. A key aspect is the "preferred experience" which highlights the utilization of AI LLM and Agentic AI to accelerate the design and testing workflow, indicating an exploration of AI tools within an engineering context. | — | 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 |
| Strategic Enterprise Account Executive – Northeast (Boston) This role is for a Strategic Enterprise Account Executive at AMD, focusing on driving revenue growth and expanding AMD's market presence within the Northeast region. The executive will lead account strategies for major enterprise customers, focusing on Data Center, AI Infrastructure, Cloud, and Commercial Client opportunities. Success requires deep executive engagement, consultative selling, and collaboration across AMD's ecosystem and internal teams. The role involves identifying and closing new business, driving adoption of AMD's solutions for AI and data center workloads, and developing go-to-market strategies with partners. Experience with AI-enabled PCs and AI workloads is mentioned. | — | 5 |
| Director System Architect This role is for a Director System Architect at AMD, focusing on wired communication technologies and their integration with emerging AI/ML applications in wired networks. The responsibilities include product planning, defining system architectures, customer engagement, and enabling sales for AMD technology adoption. While the role involves understanding and enabling AI/ML inference applications, it is not a core AI/ML development role but rather an architecture and system integration role that leverages AI/ML tools for productivity. | — | 5 |
| Chief of Staff - Cores Post Silicon Validation Chief of Staff role focused on managing and improving business processes within the Cores Post-Silicon Validation team at AMD. The role involves leveraging AI tools for process automation, data analysis, predictive modeling, and risk management to support strategic business decisions and ensure team execution aligns with world-class product standards. It requires strong operations and post-silicon program management skills, with a need for technical, analytical, and programming abilities in a Post-Silicon Validation environment. Collaboration with data scientists and engineers is key to integrating AI solutions into business operations. | — | 5 |
| Sr. Manager - Storage Ecosystem Partnerships This role focuses on driving ecosystem strategy across storage partners to accelerate AI adoption and grow AMD's data center market share. The individual will serve as a product management subject-matter expert, working closely with ecosystem partners, enterprise, cloud, and hyperscale customers, and internal engineering teams to align roadmaps, influence architecture, and translate market needs into product strategy. | — | 5 |
| Sr Server Performance Architect This role focuses on architecting, validating, and optimizing the performance of new features for AMD's next-generation servers, particularly in the context of AI and data centers. The Sr. Server Performance Architect will lead a team, define verification strategies, analyze performance bottlenecks using simulation and emulation, and drive the development of AI/ML-based infrastructure for performance analysis automation. The role requires a deep understanding of server design, performance metrics, and collaboration across various engineering teams. | — | 5 |
| Server Performance Architect AMD is seeking a Server Performance Architect to optimize performance of new features for AMD-based next-generation servers. The role involves architecting, validating, and optimizing performance through full chip simulation and emulation platforms. Key responsibilities include performance analysis, correlation, and developing AI/ML-based infrastructure for automation and efficiency improvements. The role requires a strong understanding of CPU microarchitecture, performance metrics, and experience with simulation/emulation tools, with a plus for ML/AI techniques in performance triage. | — | 5 |
| Data Center GPU Performance Attainment Lead This role focuses on post-silicon performance characterization and optimization of AMD Datacenter GPUs, specifically for HPC and ML workloads. The candidate will develop automation frameworks, define power and performance, execute test plans, analyze scaling efficiency, identify and mitigate bottlenecks, and collaborate with cross-functional teams to drive performance closure. Experience with Python, C/C++, scripting, computer architecture, and HPC/ML workloads is preferred. | Serve | 5 |
| Sr. Product Manager - AI Infrastructure and Solutions Senior Product Manager for AI Infrastructure and Solutions at AMD, focusing on defining, integrating, and launching AMD-based AI solutions that combine hardware and software. The role requires translating customer needs into requirements across the full stack and ecosystem, leading cross-functional teams, and ensuring launch readiness. | — | 5 |
| Sr. Software Strategy Lead Sr. Software Strategy Lead for AMD's Client and Graphics business unit, focusing on defining and driving the long-term direction of consumer-facing software experiences, including AI-related products. This role involves engaging with strategic customers and ecosystem partners, translating needs into software strategies, and collaborating with cross-functional teams to ensure successful outcomes. Requires a product-first mindset, customer empathy, market understanding, and technical fluency. | — | 5 |
| Ethics & Compliance Program Manager This role focuses on building, scaling, and operationalizing global compliance programs (anti-corruption, competition, third-party risk management, investigations) by leveraging AI, data, and automation. The Program Manager will design, implement, and improve these programs, adjudicate red flags, develop risk dashboards, and support internal investigations. Experience with AI, automation, and risk management is key. | — | 5 |
| Lead Packaging Automation Engineer This role focuses on developing and deploying AI-assisted workflows for advanced packaging design automation, specifically optimizing auto-routing, component placement, and signal integrity. It involves leading the transition to agentic design models and collaborating with AI teams. | Agent | 5 |
| Senior GPU Performance and Power Benchmark Engineer Senior engineer to lead AMD's involvement in shaping industry standard GPU performance and power benchmarks, which are expected to play a significant role in government energy-efficiency regulations worldwide. This role involves representing AMD externally to benchmark development organizations, measuring performance and power on AMD and competitive GPU servers, investigating anomalies, and developing proposals. The role requires strong knowledge of AI/ML concepts and server GPU hardware/software architecture, along with experience in benchmarking and data analysis. | — | 5 |
| Principal Datacenter GPU Lead Power Constrained Performance Architect This role focuses on the power-constrained performance of AMD's AI/ML/HPC GPUs, specifically their Instinct accelerators. The Principal Datacenter GPU Lead Power Constrained Performance Architect will own the Perf@Power attainment from pre-silicon modeling to post-silicon correlation, involving cross-functional leadership, workload analysis, and setting PPA targets. The role requires expertise in computer architecture, power/performance modeling, and familiarity with physical design and power management techniques. Knowledge of DL/ML/LLM/MoE workloads is a bonus. | — | 5 |
| Embedded Systems Architect – Aerospace & Defense AMD is seeking an Embedded Systems Architect for their Aerospace & Defense team. This role involves defining and creating embedded processor solutions optimized for defense applications, specifying reference designs, product features, and software/firmware for x86, Arm, and RiscV processors. The architect will collaborate with internal teams, sales, and partners, and work with customers to address unique application needs in the aerospace and defense market. Responsibilities include serving as an x86 solutions expert, influencing the x86 roadmap, developing customer relationships, creating product value propositions, defining co-developments, specifying requirements for future processors, and guiding the execution of reference designs and benchmarking for applications like radar, communications, image detection, and AI. | — | 3 |
| CVP, Business Development –NeoCloud & Data Center Providers This role is for a VP of Business Development focused on AMD's NeoCloud partnerships and Data Center providers to scale AMD Instinct accelerators for AI infrastructure. The executive will define NeoCloud strategy, build relationships with data center providers, and secure capacity and deployment readiness for AI workloads. | — | 1 |
| Senior Manager, Global GSI Programs & Operations This role supports the Corporate Vice President of Global Systems Integrator (GSI) Partnerships, focusing on strategic partner program leadership, sales operations, business planning, and cross-functional execution. The Senior Manager will drive organizational cadence, lead strategic programs, build operational frameworks, develop executive-level communications, and ensure alignment across Sales, Product, Finance, Marketing, and Operations teams. The role involves leveraging AI-enabled tools to improve productivity and efficiency within these operational functions. | — | 1 |