AMD

This Principal Open Source AI/ML Solutions Engineer role focuses on optimizing AI/ML workloads on AMD's GPU hardware. The engineer will be responsible for the architectural design, development, and implementation of GPU software components, including drivers and APIs, to enhance performance and efficiency for AI applications. The role involves working with AI frameworks, performance analysis, and contributing to open-source software solutions, aiming to unlock Generative AI efficiency.

Senior Staff Software Development Engineer at AMD focused on optimizing and developing deep learning frameworks for AMD GPUs. The role involves enhancing GPU kernels, deep learning models, and training/inference performance across multi-GPU and multi-node systems, collaborating with internal library teams and open-source maintainers. Key responsibilities include end-to-end optimization of distributed inference and RL solutions, optimizing performance on distributed computing environments, and leveraging compiler technologies. Requires strong C++ development in Linux, GPU kernel development, deep learning integration, and high-performance computing experience.

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.

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.

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.

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.

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.

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.

Staff Analyst, Strategic Finance for AMD's AI Group, focusing on financial analytics, datacenter capacity planning, and pipeline modeling to support AI infrastructure strategy and investments. This role involves building and maintaining financial models, developing executive reporting, and partnering cross-functionally to inform commercial decision-making in a rapidly scaling AI business.

Senior Manager, Strategic Finance for AMD's AI Group (AIG). This role partners with AI business leaders and stakeholders to support AMD's AI business through high-impact AI infrastructure and strategic commercial deals. Responsibilities include owning deal economics, decision support, governance, and executive reporting on financial exposure. The role requires strong analytical rigor, financial modeling expertise, and cross-functional collaboration to drive disciplined execution and refine deal assessment processes within a rapidly evolving business environment.

Lead Runtime Engineer at AMD to support and develop GPU-compute language runtime libraries for the ROCm platform on Windows, focusing on AI and HPC applications. Involves deep technical collaboration with customers and partners to resolve driver-level challenges and ensure successful deployment of AMD GPU technologies.

This role focuses on driving ROCm enablement for iGPUs on embedded x86 platforms, involving planning, cross-functional alignment, and integrating software components for embedded markets. The engineer will create customer-facing content, support sales and field enablement, and provide technical training.

Sr. Manager AI Systems Validation Architect at AMD, responsible for company-level technical leadership in defining how AMD validates AI platforms as complete, deployable solutions. This role shapes validation strategy at the architectural level, ensuring alignment across CPU, GPU, networking, system architecture, and software domains. The position involves leading and managing a small team of senior architects, with hands-on involvement when needed, and serving as a recognized authority in system-level validation architecture for AMD’s AI platforms.

This role focuses on enabling and supporting server OEMs, ODMs, and MDCs by ensuring the platform enablement, solutions ramp, and product support for AMD server products, including those used for AI training and inference. The engineer will test AMD's customer enabling collaterals and platform engineering ingredients against vertical industry solutions, work with internal teams to establish best-known-configurations, utilize pre-production hardware to uncover and solve system integration issues, and support customer debug. The role requires a Bachelor's or Master's in electrical engineering, computer engineering, or comparable disciplines.

Senior Staff Software Development Engineer focused on ML/AI runtime optimization, system-level model integration, and accuracy debugging for hardware implementation. The role involves analyzing and resolving complex issues in AI models, identifying and fixing accuracy problems in quantized or modified models, building diagnostic tools, and supporting hardware debugging and performance improvements.

Lead a team of Application Engineers focused on enabling and supporting Data Center GPU customers globally, bringing next-generation AI server platforms to market and ensuring successful deployment. This role involves technical and strategic leadership for customer engagements, validation, factory enablement, issue resolution, and scaled deployment.

This role is for a Sr. Director of Data Center GPU Platform & System Validation at AMD. The primary focus is on leading teams to validate next-generation ML/AI/HPC products, ensuring system-level testing, BKC delivery, and driving test innovation. The role involves close collaboration with various engineering teams and customers developing AI Cloud Services and on-prem AI Clusters. While the company and its products are heavily involved in AI, the role itself is in validation and testing of the underlying hardware and systems, not directly building AI models or agents.

This role is for a Sr. Manager in the HPC & AI Applications Engineering team at AMD. The candidate will lead a team of experts to adapt and optimize HPC and AI applications for AMD hardware, develop performance models, and drive the delivery of Exascale-ready applications. The role requires strong technical leadership, customer interaction, and a demonstrated track record in software team management. A PhD in a relevant scientific or engineering domain is preferred.

This role focuses on driving ROCm enablement for iGPUs on embedded x86 platforms, involving planning, cross-functional alignment, and integrating software components for embedded markets. The engineer will create customer-facing content, support sales and field enablement, and provide technical training.

This role is for a Sr. Manager of Quality Engineering at AMD, focusing on AI server technologies for Mega Data Center Customers. The primary responsibility is to lead a CQE team through the New Product Introduction (NPI) lifecycle, ensuring quality strategy, technical resolution of hardware failures, risk mitigation, and team development. The role involves close collaboration with engineering, global ODMs, and key customers to solve complex technical issues before mass production. While the company is involved in AI, this specific role is focused on the quality engineering of hardware infrastructure supporting AI, rather than direct AI model development or research. There is an interest in leveraging AI tools to optimize quality workflows.

Software Development Engineer to research, design, develop, and/or test operating systems-level software, compilers, and/or network distribution software for semiconductor operations. This role involves designing, developing, troubleshooting, and debugging software programs for enhancements and new products, including software and tools for design, infrastructure, and technology platforms. The engineer will determine hardware compatibility and influence hardware design, working on complex system-level software problems with limited supervision. Requires experience in C/C++, CUDA, 2D/3D graphics, GPU architecture/programming, machine learning, object-oriented design, memory management, multi-threading, and the GNU toolchain.

Software Development Engineer to research, design, develop, and/or test operating systems-level software, compilers, and/or network distribution software for semiconductor operations. This role involves applying principles of computer science, engineering, and mathematical analysis to design, develop, and debug software programs for enhancements and new products. The engineer will develop software and tools in support of design, infrastructure, and technology platforms, including operating systems, compilers, routers, networks, utilities, databases, cloud-based and Internet related tools. They will also determine hardware compatibility and/or influence hardware design, working on problems of complex scope where analysis of situations or data requires a review of a variety of factors. The role requires experience in C/C++, CMake, multiple programming languages, Machine Learning, Linux/Windows system-level programming, device drivers, software architecture, computer graphics, Digital Signal and Image processing, Artificial Intelligence, soft computing, Natural Language Processing, Applied Natural Language Processing, database management systems, operating systems, data structures, analysis of algorithms, and distributed computing.

This role focuses on program management within AMD's Global Operations and Quality (GOQ) team, involving data analysis, reporting, and automation to improve operational efficiency. It requires experience with various programming languages, data science tools, and AI/ML concepts like NLP, Deep Learning, Multimodal systems, Machine Learning, Computer Vision, and Mathematical Statistics.

This role leads AMD's global Transportation Management System (TMS) strategy, focusing on defining, implementing, and optimizing the TMS platform. It involves vendor selection, system integration, process standardization, and identifying automation and AI-enabled use cases to enhance supply chain performance. The role requires strong program management, technical understanding, and stakeholder collaboration.

Develops software for robotics products, focusing on power IP and features, spanning pre-silicon to post-silicon implementation. Requires strong ROS/ROS 2, C/C++, and robotics simulation experience. Experience with GPU accelerated vision or AI pipelines and AI frameworks is a plus.

Develop high-performance C++ functional models of AMD SoCs and platforms for pre-silicon development of firmware, system, driver and application software. Enhance simulation infrastructure and develop debug features, leveraging AI tools for efficiency.

AMD is seeking a Lab Engineer to manage, maintain, assemble, and support a large volume of compute systems for platform bring-up, validation, and firmware development. Responsibilities include system assembly, firmware flashing, remote access enablement, boot failure triage, and thermal/chiller setup management, ensuring the reliable operation of approximately 300 lab systems. The role also involves maintaining meticulous hardware asset records and coordinating with various teams for lab readiness.

Lab Engineer responsible for managing, maintaining, assembling, and supporting a large volume of compute systems for platform bring-up, validation, and firmware development. This includes system assembly, firmware flashing, remote access enablement, boot failure triage, and thermal management for approximately 300 lab systems. The role also involves maintaining hardware inventory and documentation.

Manage a team focused on Linux partner enablement for AMD's EPYC CPUs and Instinct accelerators, ensuring day-0 readiness and long-term success with key Linux partners. This involves deep expertise in operating system hardware enablement, Linux and open source development, and partner engagement. The role collaborates across various internal teams and works hands-on with partners through validation, integration, and optimization.

Executive Assistant role supporting the Data Center GPU Business Unit at AMD. Responsibilities include managing calendars, coordinating travel and expenses, interfacing with management and customers, preparing reports, and supporting financial processes. Requires strong organizational, multi-tasking, and independent decision-making skills.

This role is for a Strategic Sourcing Manager at AMD, focusing on the OSAT (Outsourced Semiconductor Assembly and Test) supply chain. The responsibilities include developing and executing global procurement strategies, managing supplier performance, leading negotiations, and ensuring efficient operational purchasing. The role requires strong project management, negotiation, and communication skills, with a preference for experience in Supply Chain Management and purchasing.

This role is for an RTL Design Engineer at AMD, focusing on designing and developing cutting-edge IPs for next-generation embedded products. The engineer will be responsible for the complete RTL design lifecycle, from micro-architecture specification to production silicon, with a strong emphasis on performance, power, and area (PPA) targets. Key responsibilities include RTL implementation, timing closure, low-power design, and cross-functional collaboration. The role requires extensive experience with ASIC design flows, Verilog RTL coding, and low-power methodologies, with preferred qualifications including familiarity with AI-assisted design tools.

This role is for a Senior Supply Chain Specialist at AMD, focusing on managing the end-to-end supply planning for Data Center GPU products. The responsibilities include meeting KPIs, collaborating with other functions, analyzing potential shortages, managing supply for new product milestones, tracking supply and demand, and driving continuous improvement. The role requires strong analytical skills, proficiency in Excel and PowerPoint, and understanding of the semiconductor supply chain. Experience with SAP and Rapid Response is a plus.

This role is for an Internal Mobility Advisor within AMD's Global Talent Acquisition team. The primary focus is on managing and optimizing internal employee movement and relocation processes, ensuring compliance, efficiency, and a positive employee experience. Responsibilities include offer letter execution, cross-functional partnership with HR and TA, and project management for process improvements and technology integrations. While the company mentions AI and its use in screening, this specific role is not directly involved in AI/ML development or research.

This role is for a Senior FPGA ASIC Design Engineer at AMD, focusing on the design, integration, and validation of IPs and subsystems for FPGA and ASIC platforms. The role involves technical leadership, mentoring junior engineers, and contributing to advanced projects in markets like wireless communications, aerospace, and defense. While the company mentions AI and next-generation computing, the core responsibilities are in hardware design (FPGA/ASIC) rather than AI/ML model development.

This role is for a Product Planning Engineer at AMD, focusing on power, thermals, and performance per watt for next-generation Adaptive and Embedded Computing products. The individual will collaborate with business, design, and validation teams, driving technical decisions and ensuring alignment across various product lines including FPGAs and SoCs. Experience in planning, architecting, and designing power and thermal solutions for complex systems is preferred.

Senior Program Manager to lead complex, cross-functional initiatives supporting site operations, strategic planning, and executive engagement within AMD's AI and data center focus areas. Role requires strong program governance, stakeholder management, and driving execution in a global, matrixed organization.

Senior Digital Design Engineer at AMD focusing on SoC interconnect and memory subsystems performance modeling and RTL correlation. The role involves collaborating with architects and designers to meet performance targets for next-generation memory technologies and scalable interconnects.

Senior Channel Sales Representative at AMD, responsible for building the commercial systems channel business by driving business development with Distribution, NSP, and VAR partners. This role involves evangelizing AMD technology, building sales programs, enabling sales teams through training, and managing executive relationships to achieve sales quotas for AMD products.

Software engineer role focused on improving FPGA place and route solutions for emulation and prototyping platforms, working with industry partners and R&D teams to address limitations and develop tools for next-generation FPGAs.

This role is for a Technical Program Manager at AMD, focusing on the delivery of networking architecture for AMD Pensando Products. The role involves collaborating with various engineering teams, defining and executing project plans, assessing technical feasibility, developing schedules, and managing project execution from inception to completion. The ideal candidate will have an engineering background, experience in silicon design delivery, and strong program management skills.

AMD is seeking an engineering leader to drive the Power, Performance, and Area (PPA) of AMD's SoC coherent Interconnects Data Fabrics IPs for next-generation AMD AI devices. The role involves microarchitecture development for scalable, modular network-on-chip IPs for Data Center silicon SoCs, working with cross-functional teams to define and execute RTL design. The candidate will explore new methodologies and stay informed on switch fabric hardware architecture innovations.

This is a coop/intern position at AMD focused on technical marketing and performance analysis of graphics products. The role involves testing, analyzing, and documenting product performance, comparing AMD products with competitors, and contributing to reviewers' guides. It also includes scripting for test automation and OS image preparation. While AI is mentioned in the context of AMD's broader mission and potential use in screening, it is not the core craft of this specific role.

This role is for a DFx Methodology Architect at AMD, focusing on defining and improving design-for-testability, debug, characterization, repair, and yield methodologies for complex System-on-Chips (SoCs). The position involves developing new IPs and methodologies, working with functional IP teams, and requires expertise in RTL design, timing constraints, and various design qualification aspects. While the company mentions AI and its role in shaping the future, this specific position is centered on traditional hardware design and verification methodologies, not direct AI/ML model development or deployment.

This role is for a Sr. Software System Designer focused on Automation within the computer graphics industry (3D Gaming, Display Technologies, Compute, Virtual Reality). The responsibilities include defining products, developing solutions, assessing root causes, and producing resolutions, with an emphasis on build, release, and DevOps engineering. The role requires strong experience with CI/CD tools, Linux/Unix environments, scripting (Python, Bash, Groovy), source control, artifact repositories, and containerization. While the company mentions AI and its use in screening, this specific role is not directly involved in building or shipping AI/ML models or agents.

This role is for a Lead / Staff Embedded Cybersecurity Engineer at AMD, focusing on developing and driving security software for sophisticated new technology and product introduction projects (FPGA/SoC, embedded x86). Responsibilities include defining security requirements, collaborating with engineering teams, participating in validation, and contributing to future architecture design. The role also involves Secure Development Lifecycle activities like Threat Modeling and Penetration Testing, and implementing security features such as secure boot and cryptographic algorithms. While the company mentions AI and data centers in its mission, the core responsibilities of this role are focused on cybersecurity engineering for embedded systems, not AI/ML model development or deployment.

This role focuses on power analysis and optimization for high-performance and power-efficient SoCs within AMD's Front-End SoC Design Team. Responsibilities include understanding power requirements, developing strategies, performing power estimation and analysis, driving low-power design, and contributing to methodology evolution. Experience with EDA tools and RTL design is preferred, along with scripting skills and familiarity with AI tools.

This role is for a Sr. Firmware Engineer at AMD, focusing on optimizing x86 platforms for embedded and commercial applications. The engineer will provide guidance to customers on integrating AMD processor automotive products, analyze and debug issues, validate software features, and author technical documentation. The role requires strong knowledge in computer technologies, software engineering expertise, and experience with C, C++, and Python, particularly in embedded systems and OS concepts like Linux and Android. While the company mentions AI and its own AI policy, this specific role is centered on firmware and system-level engineering, not direct AI/ML model development.