ResponsibilitiesDesign, develop, and optimize high-performance AI operators and GPU kernels for training and inference workloads.Analyze and improve kernel performance through profiling, memory optimization, kernel fusion, parallelization, and architecture-aware tuning.Develop GPU kernels using CUDA, HIP, Triton, or similar programming frameworks.Build AI-powered coding agents and automation workflows for kernel generation, optimization, benchmarking, and validation.Collaborate with model and infrastructure teams to improve end-to-end AI system performance.RequirementsBachelor's degree or above in Computer Science, Computer Engineering, Artificial Intelligence, or a related field, with 4+ years of relevant experience.Strong programming skills in C++ and/or Python.Hands-on experience in GPU kernel development and optimization using CUDA, HIP, Triton, or similar frameworks.Solid understanding of GPU architecture and performance optimization, including memory hierarchy, occupancy, register pressure, and shared memory.Experience with performance profiling and optimization tools such as Nsight, rocprof, or equivalent.Experience with AI operators such as GEMM, Attention, MoE, Embedding, or other performance-critical workloads.Preferred QualificationsDeep experience in GPU kernel optimization, including kernel fusion, memory optimization, communication/computation overlap, performance modeling, or optimization of AI operators such as GEMM, Attention, MoE, and Embedding.Experience building coding agents, code generation systems, or AI-assisted software engineering tools.Experience with large-scale AI training or inference systems.Nice-to-Have Experience with LLM post-training, including SFT, RLHF, DPO, GRPO, or related techniques.Publications or open-source contributions in GPU optimization, AI systems, or coding agents. #LI-JW2

THE ROLE:  As a Server Customer Platform Application Engineer, you are responsible for customer server system development program technical support from concept to end of life. This includes concept design, schematic and layout review, signal integrity and power in-tegrity, electrical validation, system integration, manufacture, etc. You will provide technical support across platform design, platform debug and system validation to meet program goals of quality platform delivery on schedule at target performance.   THE PERSON:  As a Server Customer Platform Application Engineer, you must have experience as a domain expert in at least one or more areas include system design, schematic, layout, SI/PI, EV, validation and have basic understanding of the general system design process (preferably Server), from concept to gerber-out and through production.   KEY RESPONSIBILITIES:  Work with MDC/OEM/ODM partners to enable successful deployment of AMD server platforms by augmenting customer solutions with technical collateral including whitepaper, application note, user guide on customization and tuning, reference design materials, and debugging/profiling toolsPerform design reviews include concept, block-level, schematic, layout for customer platorms and/or referene platformsSupport bring-up, validaiton and debug of platform related issuesEngage directly on key technical topics, issues, architecture discussions, deisgn optimizations with customers and internal teams and steer of multi-party disscussion to convergenceAnalytic ability to address technical issues and generate creative solutionsOn-site support to speed up issues closure to meet overall project schedule  PREFERRED EXPERIENCE:  3+ years of server/client SOC or system development experienceBoard Design Fundamentals pertaining to Mixed signal design, High Speed board design, and Power DesignHands-on with debug, triage, and validation procedures for all the interfaces and subsystems of a platformExperience with common lab equipment, including protocol/logic analyzers, oscilloscopes, etc.  Knowledge of server system architecture, technical debug, and validation strategyFair knowledge of HW development life-cycle end to end from Design Conception, Execution, Fabrication & Assembly, board Bring-up, Test & Validation, Reporting and Customer support.  ACADEMIC CREDENTIALS:  Bachelors and/or higher degree in EE/CS or related majors #LI-CC1

Role OverviewThis role drives AMD’s partner portfolio and GTM strategy across Asia OEMs, working closely with key OEMs and regional partners to accelerate adoption of EPYC-based platforms and solutions.The position combines market strategy, partner engagement, and go-to-market execution, with direct impact on revenue growth, market share expansion, and long-term ecosystem competitiveness. The role also serves as a critical bridge across China, APJ, and corporate teams. Key ResponsibilitiesMarket Strategy & Business Growth Define and execute data-driven market strategies, prioritizing high-impact segments to accelerate sustainable growth.Lead complex negotiations, financial planning, and strategic investments aligned with AMD’s long-term business objectives.Portfolio & Roadmap Leadership Drive AMD investments with OEM partners across Asia (with a focus on China and Japan) to build a competitive server portfolio.Align OEM stakeholders on product roadmaps, pricing, and platform strategies.Own NRE planning, investment proposals, and contract negotiations to bring differentiated solutions to market.Coordinate cross-functional resources to ensure successful product development and launch.Market Engagement & GTM Execution Develop and execute joint GTM and co-marketing strategies, including MDF investments, to maximize portfolio adoption.Align sales and marketing teams on product positioning, messaging, and execution priorities.Lead joint business reviews, marketing programs, and budget management to drive measurable market impact.Bridge capability gaps for regional OEMs by enabling international market expansion and engagement.Financial & Operational Excellence Deliver against market share, revenue, unit, and margin targets.Optimize demand-supply alignment, pricing strategies, and financial models to maximize profitability.Oversee CPU sample allocation and distribution to support strategic priorities and customer engagements.Strategic Partnerships & Innovation Drive collaboration across Engineering, Product Planning, Product Management, and Marketing to align portfolio strategy and execution.Identify and execute build/buy/partner opportunities to close portfolio gaps and accelerate growth.Champion innovation initiatives to strengthen AMD’s competitive differentiation.Performance & Profitability Management Define and implement pricing strategies, rebate programs, and financial frameworks to maximize revenue and market penetration.Establish and track key performance metrics to drive data-driven decisions and continuous business improvement. QualificationsLeadership & Execution: 10+ years of leadership experience in the technology industry, with a proven track record of building high-performing teams and delivering results in cross-functional, matrixed environments.Executive Influence: Demonstrated ability to engage and influence senior executives, driving alignment on key business initiatives and strategic decisions.Business & Financial Acumen: Strong experience managing budgets, evaluating investments, and driving ROI-oriented decision-making.Strategic Problem Solving: Proven ability to navigate complex business challenges and translate strategy into execution.Communication & Stakeholder Management: Exceptional communication skills, with the ability to drive clarity and alignment across diverse stakeholders and organizational levels.Preferred QualificationsIndustry Domain Expertise: Deep understanding of the server, data center, or enterprise technology landscape (e.g., CPU/GPU platforms, competitive dynamics).OEM & Ecosystem Experience: Experience working with OEMs or partner ecosystems, including exposure to sell-in/sell-through business models.Regional Experience: Experience working with customers or partners in Asia (particularly China, Japan, or APJ markets).GTM & Ecosystem Development: Experience in go-to-market strategy, co-marketing programs (e.g., MDF), or ecosystem development.Commercial & Pricing Experience: Familiarity with pricing strategy, rebate/incentive programs, and financial modeling.Global Expansion: Demonstrated success supporting international growth or market expansion initiatives.Advanced Education: MBA or advanced degree in business, engineering, or a related field.LocationChina (Beijing or Shanghai preferrred – flexible) #LI-CC1

THE ROLE: This position is responsible for ensuring supply to support GPU mass production revenue associated with board assemblies, include align demand and supply, drive for material readiness, engineering information delivery, schedule build and shipment. This role will work collaboratively with multiple business functions in a team environment. KEY RESPONSIBILITIES: Helps set strategic direction of inventory and supply planning: improve supply planning for factory optimization, inventory level, and flexibility; assisting engineering in capital investment and tool development is a plusIntegrated financial analysis, focusing on supply chain risk management and the impact of disruptions; provides analysis and recommendations for sourcing decisions and global flexibility, including impact on inventory buffer levels and locationsIntegrates forecast accuracy work with the Business Management Team into supply planning processesManages and ensures adherence to finished goods buffering and manufacturing strategy; understanding of ABC class code and its management is a plusOversees product life cycle management (from SKU approval to EOL)Handles disposition of inactive inventory and returnsConducts surplus inventory analysis and drives demand shaping with business units for consumptionManages scrap and reserves (projected reserves) and works closely with financeCollaborates with Finance on costing, ASP, margin, etc.REQUIRED SKILLS: Good communication skill, working with CM account team and material team to negotiate build schedule, liability, and responsibilitiesHave the ability/experience to manage multiple SMT assemblies with part counts in the neighborhood of 300 componentsExperience in netting logic surrounding gross inventory and net inventory (CM inventory/hub inventory)EC management experience in dealing with SMT assemblies (remove/add)Ability to interact with account teams across multiple time zones and speak fluent EnglishUnderstanding and experience in managing procurement during shortages and sourcing strategiesExperience in inventory analysis dealing with obsolete, surplus, and inactive inventoryExperience in handling RMA/re-work material PREFERRED EXPERIENCE: 8+ years’ experience in electronic industrial, include 2+ years’ experience of planning function.Experience in EMS (electrical manufacturing service) industry is preferredMaterials management background. Experience with MRP systems such as SAP is a plus. Advanced knowledge of Microsoft PC based software suites including MS Windows, MS Word, Excel, and Outlook is required. Proficient in written and verbal communication and strong organizational skills. ACADEMIC CREDENTIALS: Bachelor degree of engineering, supply chain, administration. LOCATION:Suzhou, China #LI-VC1

THE ROLE: We are looking for a dynamic, upbeat software engineer to join our growing team. Your work will focus on building robust, efficient software components that enable high-performance execution of large language models and multimodal models across multi-GPU systems. You’ll collaborate with internal GPU library teams and open-source maintainers to implement features that improve throughput, latency, and scalability. This role emphasizes full-stack development within AI inference systems, with a strong focus on model behavior and framework integration. THE PERSON: A motivated early-career software engineer with solid foundational skills in Python and/or C++ in Linux environments. The ideal candidate has hands-on experience or strong academic exposure to deep learning systems, understands LLM and multimodal model architectures, and is eager to write production-quality code that balances functionality, correctness, and performance. KEY RESPONSIBILITIES:  Deep Learning & LLM Framework Optimization: Experience with optimizing major DL/LLM frameworks (PyTorch, vLLM, SGLang) for AMD GPUs and contribute improvements upstream. Model-Aware Implementation: Build features that interact closely with LLMs and multimodal architectures (e.g., Llama, Qwen-VL, Wan), requiring understanding of attention mechanisms, cross-modal fusion, KV caching, and quantization. Performance-Conscious Coding: Write efficient, scalable code while considering memory usage, concurrency, and bottlenecks in multi-GPU environments. Profiling: Use profiling tools to evaluate the impact of your changes, identify regressions, and validate performance improvements as part of the development cycle. End-to-End Performance Engineering: Perform comprehensive profiling to identify bottlenecks and implement system, memory, and communication optimizations across multi-GPU and multi-node setups. Compiler & Pipeline Acceleration: Leverage compiler technologies and graph compilers to enhance the full deep learning and inference pipeline. Research & Advanced Techniques: Prototype and integrate emerging optimization methods such as speculative decoding and weight-only quantization into production systems. Cross-Team & Open-Source Collaboration: Collaborate with internal GPU library teams and open-source maintainers to align improvements and ensure seamless upstream integration. Software Engineering Excellence: Apply robust engineering practices to deliver maintainable, reliable, and production-quality performance optimizations. MANDATORY EXPERIENCE:  Software Engineering Skills: Familiarity in Python. Familiarity with C++ or async programming is a plus. Understanding of LLM or multimodal model concepts: Knowledge of transformer architectures, attention mechanisms, vision-language alignment, and inference pipelines (e.g., image + text input handling). Have theoretical grounding in Transformer/Attention/MoE/KV Cache, and quantization (FP8/FP4). Linux development environment: Comfortable using command-line tools, Git, and standard debugging/profiling utilities. End-to-End LLM Performance Engineering: Experience with profiling and diagnosing compute, memory, and communication bottlenecks across multi-GPU and multi-node environments. Software Engineering Excellence & Community Contribution is a plus: Solid Python/C++ coding skills and experience debugging and testing practices, proven ability to deliver maintainable performance-critical software, and a track record of open-source contributions with strong self-motivation. GPU Kernel Development & Optimization is a plus: Knowlege of high-performance GPU kernels tuning for AMD GPUs using HIP, CUDA, ASM, and tools like CK, CUTLASS, and Triton. Compiler & System-Level Optimization is a plus: Foundational knowledge of LLVM, ROCm, and compiler-driven techniques for improving kernel and system performance. Model Architectures & Optimization Expertise: Experience with multimodal models (e.g., Qwen-VL, Qwen-Image-Edit, Wan) or diffusion-based generative models. Familiarity with techniques like quantization, PagedAttention, continuous batching, or speculative decoding. Development Skills: Exposure to GPU computing (ROCm, CUDA) or performance profiling tools (e.g., PyTorch Profiler). Distributed Systems Experience: Experience with distributed inference for large-scale models (e.g., Tensor Parallel, Pipeline Parallel). ACADEMIC & PREFERRED QUALIFICATIONS:  Bachelor’s in Computer Science, Computer Engineering, Electrical Engineering, or a related field. #LI-EH1

THE ROLE: AMD is looking for a strategic software engineering lead to drive next-generation AI inference systems, intelligent model routing, and cloud-native deployment technologies for AMD Instinct GPUs. In this role, you will work at the intersection of LLM serving, semantic routing, Kubernetes, Envoy, AI gateways, and open-source infrastructure. You will be a member of a core team of talented industry specialists focused on enabling high-performance, production-ready AI software on the latest AMD hardware and ROCm software stack. This role is especially focused on advancing intelligent routing and system-level optimization for LLM inference, including vLLM, vLLM Semantic Router, multi-model serving, policy-driven routing, semantic caching, observability, privacy-aware routing, and workload-aware optimization across AMD GPU platforms. THE PERSON: The ideal candidate is a hands-on technical leader with deep expertise in cloud-native infrastructure, open-source development, and AI inference systems. The candidate should be passionate about building scalable systems from 0 to 1, driving open-source communities, and solving complex performance, reliability, and deployment challenges. The candidate should be comfortable working across engineering, architecture, product, partner, and open-source communities. Strong communication, technical writing, public speaking, and community leadership skills are essential. The successful candidate will be able to translate emerging AI infrastructure trends into practical software solutions that strengthen AMD’s position in the open-source AI ecosystem. KEY RESPONSIBILITIES: Lead the design and development of intelligent routing technologies for LLM serving on AMD Instinct GPUs, including semantic routing, workload-aware routing, policy-based routing, and multi-model inference orchestration.Drive AMD enablement and optimization for vLLM Semantic Router and related open-source AI gateway technologies, ensuring strong support for ROCm and AMD GPU platforms.Collaborate with AMD architecture, ROCm, kernel, compiler, and AI framework teams to identify and optimize bottlenecks in LLM inference workloads.Develop production-quality software components for AI inference systems, including routers, gateways, control-plane services, observability tools, policy engines, and deployment automation.Build and optimize integrations across vLLM, Kubernetes, Envoy, Gateway API, service mesh, and AI gateway ecosystems.Apply a data-driven approach to performance analysis, including benchmarking, profiling, latency analysis, throughput optimization, and cost-efficiency evaluation.Contribute to open-source communities and represent AMD in key AI infrastructure projects, including vLLM, Kubernetes, Envoy, Gateway API, and related CNCF ecosystems.Develop technical relationships with external partners, customers, researchers, and community maintainers to accelerate AMD adoption in AI inference workloads.Create technical documentation, blogs, demos, reference architectures, and conference presentations to showcase AMD’s AI software capabilities.Participate in new AMD GPU platform bring-up activities by validating AI inference software stacks, debugging system-level issues, and developing early proof points for emerging workloads.Research and prototype new approaches for system intelligence in LLM serving, including semantic caching, prompt classification, privacy-aware routing, safety-aware routing, tool routing, agent routing, and workload-router-pool architectures.PREFERRED EXPERIENCE: Strong software engineering background with experience building distributed systems, cloud-native infrastructure, AI infrastructure, or high-performance serving systems.Deep experience with Kubernetes, Envoy, Gateway API, service mesh, ingress/gateway controllers, or cloud-native networking.Experience contributing to or maintaining major open-source projects, preferably in CNCF, Kubernetes, Envoy, Istio, vLLM, or AI infrastructure communities.Experience with LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM, or related inference-serving systems.Experience with semantic routing, AI gateways, model routing, policy-based routing, semantic caching, prompt classification, or multi-model inference orchestration.Strong programming skills in Go, Rust, Python, and/or C/C++. Go and Rust experience are especially valuable for cloud-native control planes, gateways, and high-performance routing systems.Experience with Linux systems, containerized deployments, distributed debugging, observability, and production reliability.Familiarity with GPU-accelerated AI workloads, ROCm, CUDA, ONNX Runtime, PyTorch, or inference performance optimization is a strong plus.Experience with performance profiling, benchmarking, latency optimization, memory optimization, and high-concurrency serving systems.Ability to write high-quality, maintainable code with strong attention to architecture, reliability, testing, and operational simplicity.Strong technical communication skills, including technical writing, public speaking, community engagement, and cross-functional collaboration.Demonstrated ability to lead complex technical projects from concept to production and influence without direct authority across organizations and open-source communities.Motivating technical leader with excellent interpersonal skills and the ability to work effectively in global, distributed teams.ACADEMIC CREDENTIALS: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or equivalent experience.Advanced degree or research experience in AI systems, distributed systems, cloud-native infrastructure, machine learning systems, or high-performance computing is a plus.#LI-JW2

THE PERSON: The Sales Manager will drive sales and grow market share for AMD PCs, servers, and professional graphics. You will be responsible for driving an AMD total product portfolio that will build business development with industry customers and will be responsible for establishing the AMD sales strategy, partnerships and market approach to drive customer relationships and deliver revenue goals. KEY RESPONSIBILITIES: Understand the customer's business goals and requirements; foster relationships and manage customer expectations to mutually aligned business goals with AMD. Educate partners on AMD technologies and solutions; may be brought in by partners to help sell AMD technology in OEM products to end customers.  Create and implement sales and marketing programs to grow AMD's business within the channel. Manage executive relationships between partners and AMD.  Achieve assigned quota for AMD products. Be a strong advocate for the customer internally to AMD, reporting and resolving customer issues. Define and execute the top account server sales-out strategy.Grow EPYC/GPU sales and market share.To develop key accounts short-term and long-term strategy and action planResponsible for key account’s AMD EPYC/GPU volume and SOW breakthrough and growthDevelop and keep close relationships with key account products, technology, procurement, and various business divisions.Funnel new market opportunities to the AMD design-in and business unit teams. PREFERRED EXPERIENCE: Demonstrated success in the High-tech. industry, with commercial sales experience in a sophisticated organization.Experience in key market(s) desired, but broad market experience is also very important.Demonstrated track record of building cooperative partnerships and alliances.Proven track record of successfully attracting, developing and leading world-class teams and driving success across a global business.Recognition and respect from leaders in business; a solid reputation for accomplishment and deep credibility within technical and enterprise business circles. Track record of success working and influencing a fast-paced, matrixed, multi-unit organization at all levels; persuasiveness and effectiveness even where no direct reporting relationship exists.Ability to communicate clearly and concisely with the executive management team and to keep both groups informed of the group’s operational status and plans for the future.An established background and relationships with IT product distributors, NSPs, VARs, and OEMs (e.g. Dell, HP, Lenovo) Ability to influence and project-manage global, cross-functional teams.  Executive presentation skills to multiple stakeholders: customers, analysts, technical experts and business leaders Ability to travel and be customer facing up to 50%. ACADEMIC CREDENTIALS: BSEE or relevant technical degree; MSEE or MBA is preferred/desirable. LOCATION: Beijing/Shenzhen/Shanghai#LI-CC1

THE PERSON: The Sales Manager will drive sales and grow market share for AMD PCs, servers, and professional graphics. You will be responsible for driving an AMD total product portfolio that will build business development with industry customers and will be responsible for establishing the AMD sales strategy, partnerships and market approach to drive customer relationships and deliver revenue goals. KEY RESPONSIBILITIES: Understand the customer's business goals and requirements; foster relationships and manage customer expectations to mutually aligned business goals with AMD. Educate partners on AMD technologies and solutions; may be brought in by partners to help sell AMD technology in OEM products to end customers.  Create and implement sales and marketing programs to grow AMD's business within the channel. Manage executive relationships between partners and AMD.  Achieve assigned quota for AMD products. Be a strong advocate for the customer internally to AMD, reporting and resolving customer issues. Define and execute the top account server sales-out strategy.Grow EPYC/GPU sales and market share.To develop key accounts short-term and long-term strategy and action planResponsible for key account’s AMD EPYC/GPU volume and SOW breakthrough and growthDevelop and keep close relationships with key account products, technology, procurement, and various business divisions.Funnel new market opportunities to the AMD design-in and business unit teams. PREFERRED EXPERIENCE: Demonstrated success in the High-tech. industry, with commercial sales experience in a sophisticated organization.Experience in key market(s) desired, but broad market experience is also very important.Demonstrated track record of building cooperative partnerships and alliances.Proven track record of successfully attracting, developing and leading world-class teams and driving success across a global business.Recognition and respect from leaders in business; a solid reputation for accomplishment and deep credibility within technical and enterprise business circles. Track record of success working and influencing a fast-paced, matrixed, multi-unit organization at all levels; persuasiveness and effectiveness even where no direct reporting relationship exists.Ability to communicate clearly and concisely with the executive management team and to keep both groups informed of the group’s operational status and plans for the future.An established background and relationships with IT product distributors, NSPs, VARs, and OEMs (e.g. Dell, HP, Lenovo) Ability to influence and project-manage global, cross-functional teams.  Executive presentation skills to multiple stakeholders: customers, analysts, technical experts and business leaders Ability to travel and be customer facing up to 50%. ACADEMIC CREDENTIALS: BSEE or relevant technical degree; MSEE or MBA is preferred/desirable. LOCATION: Beijing/Shenzhen/Shanghai#LI-CC1