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Principal AI Performance Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD is looking for a performance-obsessed engineer to drive AI inference performance to the absolute limit on AMD GPUs. You will lead a small, highly technical team and work end-to-end across the stack: profiling, diagnosing, and optimizing leading models on customer-relevant serving configurations (e.g. agentic coding, long-context, high-throughput serving). You move from challenge to challenge, tackling the hardest performance problems across our most strategic customer engagements and leaving behind measurable uplifts and reusable methodology. This is not a sustaining role: every engagement is different, every optimization leaves a lasting impact. THE PERSON: You can take any AI workload, understand it top to bottom, and make it faster. You are equally comfortable profiling a distributed serving deployment, diagnosing a kernel-level bottleneck, and presenting optimization results to a customer's VP of Engineering. You understand GPU kernel performance deeply: not just how to use profiling tools, but how to reason about occupancy, cache behavior, memory coalescing, and instruction-level bottlenecks from first principles. You lead through technical depth: you set the standard for your team by doing the hardest work yourself and pulling others up along the way. You are AI-fluent, not just in the models you optimize, but in how you work: you leverage AI agents and tools daily to accelerate your workflows, and you actively define new ways of using them to make yourself and your team more effective. You thrive under pressure, move fast, and measure everything. KEY RESPONSIBILITIES: - Drive performance optimization end-to-end across the stack on leading models and customer-relevant serving configurations, closing competitive gaps through kernel and systems-level optimizations - Profile, diagnose, and resolve the hardest cross-stack performance bottlenecks, from GPU kernels and operator dispatch to framework-level scheduling and multi-node communication - Diagnose kernel-level performance issues using profiling tools: identify occupancy limitations, L2 cache thrashing, register pressure, memory coalescing issues, etc, and translate findings into actionable optimizations - Lead customer-facing technical engagements: present findings, recommend optimizations, and deliver measurable performance uplifts - Integrate and optimize custom kernels (Triton, Gluon, CK, PyDSL, ASM, AITER) within serving frameworks, understanding dispatch paths, shape extraction, and backend selection - Optimize multi-node distributed inference: communication-compute overlap, parallelism strategies, and scale-out performance - Develop and refine shared performance optimization methodology that raises the bar across the broader team - Leverage AI agents to accelerate daily work and define best practices for AI-assisted performance engineering - Upstream optimizations into open-source frameworks such as vLLM, SGLang, and PyTorch PREFERRED EXPERIENCE: - Software development experience in GPU computing, AI systems, or high-performance computing - Deep hands-on experience with AI serving frameworks (vLLM, SGLang, TensorRT-LLM, or similar) and their internals - Strong background in end-to-end workload profiling and bottleneck diagnosis: you can trace from user request to GPU kernel and back - Understanding of GPU kernel performance characteristics: occupancy, register and LDS pressure, memory coalescing, cache utilization, wavefront scheduling, and instruction-level bottlenecks - Ability to read and reason about kernel-level profiling data and translate it into concrete optimization actions. You may not write kernels from scratch daily, but you can tell exactly why one is slow and what needs to change - Understanding of model architectures (transformers, MoE, diffusion), inference paradigms (speculative decoding, prefill-decode disaggregation, continuous batching), and how they map to hardware - Experience with custom kernel development or integration (HIP, CUDA, Triton, CK, or similar) - Understanding of multi-GPU and multi-node distributed systems: scale-up and scale-out topologies, RCCL/NCCL, RDMA, and communication-compute overlap - System and rack-level design awareness: understanding performance tradeoffs across the full deployment stack - Strong proficiency in Python and C++ - Customer-facing technical leadership experience: ability to engage with customers, present findings, and drive decisions - Fluent in AI-assisted development: daily user of AI agents and tools, with a mindset toward defining new AI-powered workflows - Strong Linux systems knowledge - Excellent written and verbal English communication skills PREFERRED ACADEMIC CREDENTIALS: Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent. Advanced degree preferred but exceptional industry experience valued equally. LOCATION: San Jose, CA, preferred This role is not eligible for visa sponsorship. LI-G11 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Senior Technical Program Manager – AI Agent
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are seeking a highly skilled Senior Technical Program Manager (TPM) to lead execution of the AI Agent roadmap in the Intelligence Systems team within AMD AI Group. This role is accountable for turning algorithm ic and agentic research into reliable, scalable, customer-facing software outcomes . You will reduce operational overhead, bring execution discipline to complex software flows, and ensure customer-driven work results in durable product and process improvements. You will partner closely with AI resear chers, software engineers , QA, and cross-functional stakeholders to align priorities, stabilize releases, streamline communication, and accelerate delivery of high-impact AI capabilities on AMD accelerated compute platforms. THE PERSON: The ideal candidate combines deep technical credibility in AI/ML systems with a hands-on execution mindset . You are comfortable going deep on design docs, model architectures, performance/debug issues, and complex customer environments—while also driving clarity, ownership, and predictable delivery across teams. KEY RESPONSIBILITIES: - Own and drive the AI Agent roadmap execution from research to productizat ion, including quarterly planning/OKRs and delivery commitments. - Convert research breakthroughs into crisp engineering plans and measurable milestones - Influence prioritization decisions balancing long-term algorithm ic advancement with near-term product/customer needs - Drive cross-team execution ( algorithm , software, hardware, platform) to ensure synchronized timelines, dependency management, and release readiness. - Consolid ate customer requests and feedback into durable software features, tooling, test coverage, and process improvements; ensure learnings are reused across customers. - Proactively ide ntify risks, execution gaps, and systemic bottlenecks; implement mitigation plans and hold teams accountable to closure. - Facilitate stakeholder communication and present technical progress, risks, and tradeoffs to leadership with clarity - Develop robust metrics and effective mechanisms for evaluating the impact of research on customer workloads and revenue, with a focus on continuous improvement. PREFERRED EXPERIENCE: - Proven TPM leadership del ivering complex, cross-functional AI/ML or system programs end-to-end in ambiguous, fast-changing environments. - Strong technical depth to understand and track highly technical issues (AI/ML algorithm s, performance, system integration, debugging, reliability). - Experience productizing AI research into robust software deliverables. ACADEMIC CREDENTIALS: - Master’s or Bachelor’s degree in Computer Engineering , Computer Science or Electrical Engineering is desired LI-CJ3 LI-Hybrid Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Principal ML Engineer - Large Scale Training Perfo...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are looking for a Principal Machine Learning Engineer to join our Models and Applications team. If you are excited by the challenge of distributed training of large models on a large number of GPUs, and if you are passionate about improving training efficiency while innovating and generating new ideas, then this role is for you. You will be part of a world class team focused on addressing the challenge of training generative AI at scale. THE PERSON: The ideal candidate should have experience with distributed training pipelines, be knowledgeable in distributed training algorithms (Data Parallel, Tensor Parallel, Pipeline Parallel, Expert Parallel ZeRO), and be familiar with training large models at scale. KEY RESPONSIBILITIES: - Train large models to convergence on AMD GPUs at scale. - Improve the end-to-end training pipeline performance. - Optimize the distributed training pipeline and algorithm to scale out. - Contribute your changes to open source. - Stay up-to-date with the latest training algorithms. - Influence the direction of AMD AI platform. - Collaborate across teams with various groups and stakeholders. PREFERRED EXPERIENCE: - Experience with ML/DL frameworks such as PyTorch, JAX, or TensorFlow. - Experience with distributed training and distributed training frameworks, such as Megatron-LM, MaxText, TorchTitan. - Experience with LLMs or computer vision, especially large models, is a plus. - Experience with GPU kernel optimization is a plus. - Excellent Python or C++ programming skills, including debugging, profiling, and performance analysis at scale. - Experience with ML infra at kernel, framework, or system level - Strong communication and problem-solving skills. ACADEMIC CREDENTIALS: - A master's degree or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. LOCATION: - San Jose, CA or Bellevue, WA preferred. May consider other US markets within proximity of US AMD offices. LI-MV1 HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Principal GenAI Inference Optimization Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE We are seeking a Principal GenAI Inference Optimization Engineer to join our Models and Applications team. This role focuses on improving performance, efficiency, and scalability of generative AI inference workloads on AMD GPU platforms. You will contribute to optimizing latency, throughput, and cost efficiency for real-world deployment of large-scale models, working across the software-hardware stack. THE PERSON The ideal candidate is a strong technical contributor with expertise in GenAI inference optimization, GPU performance, and large-scale serving systems. You have a solid understanding of GPU architecture, memory systems, and communication patterns, and can apply this knowledge to improve inference efficiency. You are comfortable working across multiple layers—from kernels and runtimes to frameworks and serving systems—and can independently drive optimization efforts while collaborating with cross-functional teams. KEY RESPONSIBILITIES - Optimize performance of GenAI inference workloads on AMD GPU platforms across single-node and distributed environments. - Improve latency, throughput, and cost efficiency for LLM and multimodal model serving in production. - Analyze and resolve bottlenecks across compute, memory, and communication (e.g., kernel efficiency, KV-cache usage, memory bandwidth, scheduling). - Contribute to cross-stack optimizations spanning kernels, runtimes, communication libraries, and inference/serving frameworks (e.g., vLLM, SGLang, Triton, or similar systems). - Implement and evaluate inference optimization techniques such as batching strategies, quantization, prefix caching, and speculative decoding. - Support development and optimization of scalable serving systems, including request scheduling and resource utilization. - Develop and use profiling, benchmarking, and performance analysis tools for inference workloads. - Collaborate with hardware, compiler, and framework teams to improve overall system performance. - Contribute to internal tools and, where applicable, open-source projects for inference optimization on AMD platforms. - Document best practices and contribute to performance guidelines for GenAI deployment. PREFERRED EXPERIENCE - Strong understanding of GPU architecture and performance fundamentals (compute, memory hierarchy, interconnects such as PCIe/Infinity Fabric/RDMA). - Experience with GenAI inference optimization techniques (e.g., quantization, KV-cache optimization, batching). - Hands-on experience with inference/serving frameworks such as vLLM, SGLang, Triton, TensorRT-LLM, or similar. - Experience working on LLM or multimodal inference workloads. - Familiarity with distributed systems and serving architectures. - Experience with ML frameworks (PyTorch, JAX, or TensorFlow), especially for inference. - Proficiency in Python and at least one systems language (C++/CUDA/HIP). - Experience with profiling, debugging, and performance tuning tools. - Ability to work collaboratively across teams and deliver impactful optimizations. ACADEMIC CREDENTIALS - B.S., M.S. or Ph.D. in Computer Science, Computer Engineering, or a related field preferred, or equivalent industry experience. LOCATION - San Jose, CA LI-MV1 HYBRID This role is not eligible for visa sponsorship. Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Senior Finance Manager - AI Group
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: This Senior Finance Manager role is a high-visibility position within AMD's Finance organization, and plays a critical role in the support and success of the Artificial Intelligence Group Business Unit. This position serves as the key business partner to the BU leadership team, providing financial leadership, insight, and strategic support to drive performance and achieve business objectives. The role will work cross-functionally with various AMD operations stakeholders, finance counterparts and technical accounting. THE PERSON: We are seeking a strategic, results-oriented leader with a strong bias for action and a proven ability to excel in a fast-paced, dynamic environment. The ideal candidate demonstrates exceptional communication skills and a collaborative mindset, effectively managing multiple priorities. This Individual is expected to provide strong leadership, drive cross-organizational initiatives to optimize R&D investments, lead core financial planning activities, confidently make recommendations and serve as a strong finance partner to Datacenter Engineering leadership. KEY RESPONSIBILITES: - Serve as the Finance Lead for Datacenter business unit program financials - Directly support the business unit Engineering leadership team, deliver data-driven insights, financial guidance, and decision support - Engage/Lead core finance processes including Life of Program planning, Annual Operating Plans, and intra-quarter Outlooks - Collaborate with engineering, program management, procurement and operations to align financial plans with platform roadmaps and execution priorities - Support investment planning, including capacity, cost optimization, and ROI analysis for datacenter platforms - Prepare and disseminate timely and accurate financial information to allow the business to plan, forecast, and make decisions using controlled and consistent data - Drive budgeting, forecasting, and variance analysis; communicate financial performance and risks to senior leadership and corporate finance - Monitor operating expenses and capital-related investments to ensure efficient resource allocation and alignment with strategic priorities - Develop long-range financial planning and scenario analysis to guide strategic decisions - Improve financial transparency by establishing clear metrics, reporting frameworks, and performance tracking for platform initiatives - Ensure strong internal controls and adherence to company financial policies and accounting standards - Partner with Corporate Finance, Accounting, and other BU Finance teams to ensure alignment and consistency in reporting - Identify potential opportunities for process improvement to existing processes and cadence PREFERRED EXPERIENCE: - Self-starter with excellent interpersonal communication, teaming, and problem-solving skills - Progressive experience in Finance, including significant exposure to BU, platform, or P&L Management roles - Experience supporting infrastructure, platform, or engineering-heavy organizations (semiconductor, datacenter or hardware environments preferred) - Strong financial modeling, forecasting, and analytical skills - Exceptional communication, presentation, and interpersonal skills, with the ability to articulate concepts clearly and concisely to diverse audiences. - Self-motivated, intellectually curious, and comfortable with ambiguity, possessing a proactive approach to problem-solving - Proven ability to work effectively in a fast-paced, high-growth, and challenging environment - Robust analytical skills required and the ability to turn complex data and concepts into valuable information to present in a simple/understandable manner - Ability to work in teams and with all levels of an organization as well as work independently - Proficiency in Excel, AI tools, MSFT Co-Pilot, and ERP systems experience (SAP, SAP HANA) ACADEMIC CREDENTIALS: - Bachelor’s degree in Finance, Accounting or equivalent - MBA, CPA or CFA preferred LOCATION: Austin, Texas This role is not eligible for visa sponsorship. LI-GW1 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Director, Customer Engineering, Compute and Enterp...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: Join us as a dynamic and self-motivated Director of Customer Engineering to lead the CEAI (Compute and Enterprise AI) team. In this pivotal role, you will partner with industry leaders and internal development teams to drive AMD’s cutting-edge data center products. You will be the technical face of AMD for key server customers and partners in APAC, spanning the entire lifecycle from architecture and concept study to system validation and post-deployment support. This is a unique opportunity to scale AMD’s business by enabling partners with critical knowledge, driving design-in excellence, and shaping the future of high-performance computing in a fast-paced, innovative environment. THE PERSON: We are seeking a highly motivated and innovative leader who thrives in a matrixed technical organization. The successful candidate must be a proactive team player with a keen sense of urgency and an entrepreneurial spirit to drive results. You should possess: - Analytical Agility: Ability to quickly analyze complex scenarios and develop strategic approaches to tackle tough problems. - Influential Leadership: Proven capability to influence horizontally across multiple internal functional organizations and lead cross-regional teams. - Collaborative Mindset: A self-driven and curious nature with the soft skills necessary to leverage resources and build consensus in a multi-site environment. - Communication Excellence: Strong evangelizing skills and the ability to prioritize tasks effectively while maintaining high levels of customer satisfaction. KEY RESPONSIBILITIES: - Strategic Team Leadership: Lead the CEAI customer engineering team in co-developing and validating customer platforms based on AMD EPYC and Enterprise AI solutions. - End-to-End Enablement: Work with global functional teams to augment customer solutions with technical collateral, including application notes, customization guides, and reference design materials. - Technical Steering: Engage directly on key technical topics and steer multi-party discussions between partners and internal teams to reach convergence. - Project Lifecycle Management: Develop customer-specific solutions with full product cycle support, ensuring on-time delivery of all engineering project deliverables. - Cross-Functional Alignment: Drive technical communications, support, and issue resolution by aligning with internal organizations. - Customer Satisfaction: Continuously drive for the highest levels of partner engagement and success. PREFERRED EXPERIENCE: - Extensive experience in the computing industry at the CSP, OEM, ODM, or technology provider level. - Proven track record in team management and delivering large-scale programs or cross-functional strategic initiatives. - In-depth product development knowledge in Server architecture, x86 processors, DDR, PCIE, RAS, and/or system management. - Experience leading cross-functional and cross-regional teams to achieve business goals. ACADEMIC CREDENTIALS: - Bachelor’s or Master’s degree in Electronic Engineering or a related engineering field is preferred. LOCATION: Taipei LI-JG2 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
AI Systems Engineer – AI Model (Training & Inferen...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE/PERSON: The AMD AI Group is looking for a Senior Software Development Engineer to own the end-to-end model execution stack on AMD Instinct GPUs - spanning training infrastructure at scale and high-performance inference serving. This role demands someone who has shipped LLMs on real hardware, written GPU kernels that moved production metrics, and built the systems infrastructure (orchestration, storage, monitoring) that keeps thousands of GPUs productive. You will be instrumental in ensuring AMD GPUs are first-class citizens for frontier model training and inference across current and next-generation Instinct accelerators. KEY RESPONSIBILITIES: Training Infrastructure & Enablement - Enable and optimize large-scale model training (LLMs, VLMs, MoE architectures) on AMD Instinct GPU clusters, ensuring correctness, reproducibility, and competitive throughput. - Build and maintain training infrastructure: job orchestration, distributed checkpointing, data loading pipelines, and storage optimization for multi-thousand GPU clusters on Kubernetes. - Debug and resolve training-specific issues including gradient norm explosions, non-deterministic behavior across GPU generations, and compute-communication overlap in distributed training (FSDP, DeepSpeed , Megatron-LM). - Optimize RCCL collective communication patterns for training workloads, including all-reduce, all-gather, and reduce-scatter across multi-node topologies. - Develop monitoring, alerting, and compliance infrastructure to ensure training cluster health, data security, and SLA adherence at scale. - Design and build end-to-end validation and testing infrastructure using proxy workloads, synthetic benchmarks, and configurable workload generators to systematically validate platform readiness across AMD Instinct GPU generations. Inference Optimization & Serving - Write and optimize high-performance GPU kernels (GEMM, attention, quantized matmul , GPTQ/AWQ) in HIP, Triton, and MLIR targeting AMD Instinct architectures, with demonstrated ability to outperform open-source baselines. - Drive end-to-end inference enablement on new AMD GPU silicon - be among the first to get frontier models running on each new Instinct generation, creating reproducible guides and reference implementations. - Optimize inference serving frameworks ( vLLM , SGLang , TorchServe ) for AMD GPUs: batching strategies, KV-cache management, speculative decoding, and continuous batching for production throughput/latency targets. - Develop novel approaches to inference acceleration, including bio-inspired algorithms, SLM-assisted batching, and custom scheduling strategies that exploit AMD hardware characteristics. - Build quantization pipelines (FP8, FP6, FP4, GPTQ, AWQ) for production model deployment, ensuring quality-performance tradeoffs are well-characterized across AMD GPU generations. Cross-Cutting - C ollaborate with AMD silicon architecture and pre-silicon teams to provide software feedback and validate software stack integration on next-generation Instinct GPU designs for both training and inference workloads. - Build observability and automated analysis tooling: log analysis pipelines, anomaly detection, performance baselining, regression detection, and diagnostic workflows for large-scale GPU clusters. - Contribute to the open ROCm ecosystem and AMD's developer experience — SDKs, CI dashboards, documentation, and developer cloud enablement. - REQUIRED EXPERIENCE: Industry experience shipping production AI/ML infrastructure, with hands-on work spanning both training and inference. PREFERRED EXPERIENCE: - Direct experience enabling frontier models (GPT-4 class) on AMD Instinct hardware end-to-end. - Background in building anomaly detection, log analysis, or observability systems for large-scale distributed GPU infrastructure. - Familiarity with AMD Instinct MI-series architectures (MI300X, MI350X, MI355X) and RCCL communication library. - Contributions to open-source AI frameworks (PyTorch, vLLM , SGLang , DeepSpeed , Megatron-LM). - Experience designing validation frameworks, proxy benchmarks, or synthetic workload suites for GPU infrastructure at scale. - Experience with pre-silicon software validation or hardware-software co-verification workflows. - Publications or patents in HPC, ML systems, or GPU kernel optimization. PREFERRED ACADEMIC CREDENTIALS: - Bachelor’s or Master’s degree or Ph.D in Computer/Software Engineering, Computer Science, or related technical discipline This role is not eligible for visa sponsorship. LI-G11 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Sr. Director, Business Development – AI Labs and D...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE TEAM: AMD's Data Center GPU organization is transforming the AI and HPC landscape. Our mission is to design and market exceptional products—anchored by our Instinct™ GPU portfolio—that power the next generation of computing in enterprise data centers, cloud, and supercomputing environments. If you’re excited by AI disruption and want to be part of building something big, join us THE ROLE AMD is seeking a Senior Director of Business Development to lead global strategy and revenue growth across AI labs and model providers within the Data Center GPU Business Unit. This executive will define and execute AMD’s engagement model for AI-native companies, foundation model developers, AI super users, and large-scale digital native enterprises building advanced AI capabilities. This leader will be responsible for driving large, strategic platform engagements that accelerate adoption of AMD Instinct™ accelerators and AMD’s AI software ecosystem across frontier AI workloads, large-scale model training, inference platforms, and next-generation AI infrastructure deployments. The role requires a blend of executive-level relationship leadership, AI ecosystem fluency, commercial rigor, and cross-functional influence to scale AMD’s position in one of the most competitive and strategically important markets in technology. THE PERSON The ideal candidate brings deep knowledge of AI infrastructure, foundation model workloads, and accelerated compute platforms, along with a proven ability to build and scale strategic relationships in fast-moving markets. You demonstrate: - Executive presence with the ability to influence at the board and C-suite level - Experience leading large-scale platform negotiations - Strong understanding of AI model training economics and inference scaling - Ability to translate complex technical capabilities into strategic business value - A track record of driving significant revenue growth in highly competitive environment KEY RESPONSIBILITIES Strategic Revenue Leadership - Own global business development strategy for AI end users within the DC GPU Business Unit. - Drive significant revenue growth through multi-year, platform-level engagements. - Develop and execute account strategies across AI-native startups, frontier model developers, and digital-first enterprises. - Structure and close complex commercial agreements involving hardware, software, and ecosystem components. Executive Engagement & Industry Presence - Establish and maintain C-level relationships with AI and digital enterprise leaders. - Position AMD as a long-term AI platform partner across training and inference workloads. - Represent AMD in strategic industry discussions related to AI infrastructure scaling. Platform & Ecosystem Development - Influence adoption of AMD’s AI software stack, open frameworks, and ecosystem integrations. - Partner with product and engineering teams to align roadmap priorities with advanced AI workload requirements. - Identify co-development opportunities, joint optimization initiatives, and reference deployments. Cross-Functional Leadership - Work closely with: - Data Center GPU Product Management - AI Software Engineering (ROCm™, frameworks, optimization) - Global Sales & Account Teams - Corporate Strategy PREFERRED EXPERIENCE - 15+ years of experience in business development, strategic sales, or general management within semiconductors, AI infrastructure, hyperscale cloud, or high-growth AI companies. - Direct experience working with foundation model developers, AI-native startups, or large digital enterprises deploying AI at scale. - Deep familiarity with: - GPU/accelerator architectures - AI training and inference workloads - AI software frameworks and optimization - Cloud and on-prem AI infrastructure models - Demonstrated success closing complex, multi-hundred-million-dollar or larger technology platform agreements. ACADEMIC CREDENTIALS: - MBA or advanced technical degree preferred. LOCATION: Santa Clara or Bay Area LI-RW1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Sr. Product Manager, Instinct AI GPU Products
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE AMD is seeking a Senior Product Manager, AI GPUs and Platforms, to define and drive product strategy for AMD Instinct™ accelerators. You will own product definition, platform strategy, design wins, and go to market execution for our rapidly growing AI business. This role sits within the Cloud & Enterprise AI (CEAI) product organization, a high impact team responsible for AMD’s CPU and GPU AI roadmap and business results. You will work cross functionally with engineering, architecture, sales, marketing, and key customers and partners to deliver industry leading AI platforms from concept through launch. THE PERSON You are a product leader with deep technical expertise in datacenter platforms and a proven ability to translate complex technology into compelling customer value. You thrive in highly collaborative environments and influence across engineering, executive leadership, and external partners. Key attributes include: - Product leadership: Define and execute product vision from strategy through launch. - Technical depth: Strong understanding of AI workloads, GPU/CPU silicon, datacenter platforms, networking, and the competitive server landscape. - Domain expertise: AI acceleration, processor technologies, datacenter systems, and supporting software ecosystems. - Business acumen: Market analysis, financial modeling, and opportunity assessment. - Executive communication: Clear, concise communication with senior leaders and customers. - New product introduction: Proven experience leading successful product launches. KEY RESPONSIBILITIES Product Strategy & Lifecycle - Own product strategy and roadmap for AMD Instinct GPUs. - Define positioning and requirements aligned to customer and market needs. - Lead product lifecycle from planning through launch and end of life. Go to Market & Product Marketing - Develop and execute go to market strategies, messaging, and launch plans. - Partner with marketing on content, campaigns, and analyst engagement. - Support key customer engagements and industry events. Market & Competitive Intelligence - Track market trends, customer requirements, and competitive dynamics. - Translate insights into actionable product and marketing strategies. Cross Functional Leadership - Lead and influence cross functional teams across engineering, sales, and marketing. - Drive alignment and execution across internal and external stakeholders. Business Performance - Track KPIs, pricing, and profitability. - Deliver clear updates to senior leadership on product and market performance. PREFERRED EXPERIENCE - Extensive experience in product management and/or product marketing. - Experience with server processors, GPUs, or AI/datacenter platforms. - Proven success delivering complex, high-volume products. - Strong analytical, leadership, and communication skills. - Experience in Enterprise, Cloud, and AI markets. EDUCATION - Bachelor degree in Engineering, Computer Science, Business, or related field - MBA preferred This role is not eligible for visa sponsorship. LI-AG1 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Applied Research Scientist - AI Models & Agents
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: The AI Models team is looking for exceptional machine learning scientists and engineers to explore and innovate on training and inference techniques for large language models (LLMs), large multimodal models (LMMs), image/video generation and other foundation models as well as self-evolving agents on top of these. You will be part of a world-class research and development team focussing on efficient and scalable pre-training, instruction tuning, alignment and optimization. As an early member of the team, you can help us shape the direction and strategy to fulfill this important charter. THE PERSON: This role is for you if you are passionate about reading through the latest literature, coming up with novel ideas, and implementing those through high quality code to push the boundaries on scale and performance. The ideal candidate will have both theoretical expertise and hands-on experience with developing and optimizing LLMs, LMMs, and/or diffusion models. KEY RESPONSIBILITIES: - Improve upon the state-of-the-art in Generative AI model architectures and their compatibility on AMD accelerators - Accelerate the training and inference speed through various optimizations. - Build AI agents to automatically write and evaluate efficient kernels and code - Drive continuous improvement of infrastructure and development ecosystem - Publish your research at top-tier conferences, workshops and/or through technical blogs. - Engage with academia and open-source ML communities. PREFERRED EXPERIENCE: - Strong development and debugging skills in Python. - Experience in deep learning frameworks (like PyTorch or TensorFlow), distributed training tools as well as various agentic AI frameworks - Solid understanding of various types of transformers and state space models. - Experience in writing kernels using HIP, CUDA, Triton, etc. - prior experience in building self-evolving AI agents for various challenging tasks (like code generation, discovery, etc.) - knowledge of latest research in the field of AI agents - familiar with techniques to do hardware-efficient training and inference of large language models and also familiarity with existing frameworks (e.g. vllm, sglang, etc.) - expertise in model architecture (beyond just transformers only models) and latest research in this field - having relevant open-source contributions - Strong publication record in top-tier conferences, workshops or journals. - Solid communication and problem-solving skills. - Passionate about learning new stuffs in this domain as well as innovating on top of it ACADEMIC CREDENTIALS: - Advanced degree (Master’s or PhD) in machine learning, computer science, artificial intelligence, or a related field is expected. Exceptional Bachelor’s degree candidates with years of relevant research experience may also be considered. LI-NS2 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Fellow, AI Software Architecture
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD AI Group is seeking a highly influential technical leader for the role of AMD Fellow, OneROCm — driving a unified ROCm software stack across AMD’s broad product portfolio, including Instinct, Radeon, Ryzen, Embedded, Game Consoles, and Autonomous Driving platforms. This is a rare opportunity to lead architecture, drive innovation, and help develop next-generation products at company-wide scale. The ideal candidate will define the end-to-end ROCm software strategy and influence the full stack, spanning compilers, kernels, runtime, libraries, models, frameworks, and performance optimization layers. The role also requires strong hardware/software co-design leadership to maximize performance across diverse AMD products and workloads. The ideal candidate is expected to be highly hands-on and embrace agentic AI workflows. THE PERSON: You are a strong technical leader who is able to work across organizations, align architecture with product goals, and influence both near-term execution and long-term roadmap decisions. You bring deep expe rtise in at least one major area of the stack, while also demo nstrating the curiosity, adaptability, and technical breadth to learn new domains, grow their impact, and influence the broader ecosystem. As a s uccessful candidate , y ou are recognized for technical excellence, cross-functional leadership, and the ability to drive company-wide innovation through collaboration across silicon, system software, AI/ML frameworks, libraries, and application enablement teams. KEY RESPONSIBILITIES: - Strategic Leadership: Set the technical vision and roadmap for AI software stack across all AMD products , ensuring AMD remains the platform of choice for top-tier AI customers. - Hardware-Software Co-design: Collaborate across hardware architecture, compiler, math libraries, kernel and framework teams to influence future silicon features based on evolving AI workload trends. - Workload Performance Engineering: Lead the profiling, analysis, and tuning of large-scale models (LLMs, Diffusion, Multimodal, and MoE ) to ensure "out-of-the-box" performance excellence on AMD hardware. - Ecosystem Innovation: Drive the development of advanced tools and frameworks for performance estimation, modeling, and automated reporting. - Customer Engagement: Partner with top customers and hyperscalers to understand their unique workload requirements and deliver tailored architectural wins and software optimizations. - Community & Mentorship: Act as a technical ambassador in industry forums and open-source communities. Mentor and inspire the next generation of AMD’s technical leaders and engineers. PREFERRED EXPERIENCE: - Knowledge in GPU architectures, basic knowledge of CPU architecture - Experience in AI/ML software stack spanning compilers, kernels, runtime, libraries, models, frameworks, and performance optimization layers - Understanding of GPU programming such as ROCm , CUDA, OpenCL , etc - Experience in hardware/software co-design, building high-performance products across the full product lifecycle. - Experience with operating systems (OS) and device driver development is a plus ACADEMIC CREDENTIALS: - Undergrad degree required . Bachelor of Science, Masters, or PhD degree with emphasis in Electrical Engineering, Computer architecture, or Computer Science with relevant experience preferred LOCATION; - San Jose, other locations will be considered. LI-JG1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Principal AI Software Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD AI Group is seeking a highly influential technical leader for OneROCm — driving a unified ROCm software stack across AMD’s broad product portfolio, including Instinct, Radeon, Ryzen, Embedded, Game Consoles, and Autonomous Driving platforms. This is a rare opportunity to drive innovation, and help develop next-generation products(NPI) at company-wide scale. The ideal candidate will shape the end-to-end ROCm software and influence the full stack, spanning compilers, kernels, runtime, libraries, models, frameworks, and performance optimization layers. The role also requires strong hardware/software co-design to maximize performance across diverse AMD products and workloads. The ideal candidate is expected to be highly hands-on and embrace agentic AI workflows. THE PERSON: You are a strong technical leader who is able to work across organizations, align architecture with product goals, and influence innovation and execution. You bring deep expertise in at least one major area of the stack, while also demonstrating the curiosity, adaptability, and technical breadth to learn new domains, grow their impact, and influence the broader ecosystem. As a successful candidate, you are recognized for technical excellence, and the ability to d eliver innovation s through collaboration across silicon, system software, AI/ML frameworks, libraries, and application enablement teams. KEY RESPONSIBILITIES: - Hardware-Software Co-design: Collaborate across hardware architecture, compiler, math libraries, kernel and framework teams to influence future silicon features based on evolving AI workload trends. - Strong Execution: Deliver innovations and roadmap for AI software stack across all AMD products, ensuring AMD remains the platform of choice for top-tier AI customers. - Workload Performance Engineering: Lead the profiling, analysis, and tuning of large-scale models (LLMs, Diffusion, Multimodal, and MoE ) to ensure "out-of-the-box" performance excellence on AMD hardware. - Ecosystem Innovation: Drive the development of advanced tools and frameworks for performance estimation, modeling, and automated reporting. - Customer Engagement: Partner with top customers and hyperscalers to understand their unique workload requirements and deliver tailored architectural wins and software optimizations. - Community & Open Source : Mentor and inspire other engineers and contribute to ROCm Opensource . PREFERRED EXPERIENCE: - Knowledge in GPU architectures, basic knowledge of CPU architecture - Experience in AI/ML software stack spanning compilers, kernels, runtime, libraries, models, frameworks, and performance optimization layers - Understanding of GPU programming such as ROCm , CUDA, OpenCL, etc - Experience in hardware/software co-design, building high-performance products across the full product lifecycle. - Experience with operating systems (OS) and device driver development is a plus ACADEMIC CREDENTIALS: - Undergrad degree required . Bachelor of Science, Masters, or PhD degree with emphasis in Electrical Engineering, Computer architecture, or Computer Science with relevant experience preferred LOCATION; - San Jose, other locations will be considered. LI-JG1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Technical Program Manager- AI Cluster Validation
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. Technical Program Manager- AI Cluster Validation THE ROLE We are seeking a Technical Program Manager to lead execution of AI cluster engineering programs with deep focus on GPU platforms, rack-level solutions, and AI Cluster validation. This role is responsible for driving end-to-end delivery from GPU + server integration through rack bring-up, scale testing, failure analysis, and system debug closure, ensuring platform readiness for hyperscale and enterprise AI deployments. This role operates at the intersection of hardware, firmware, networking, and scale-test execution, and requires strong technical depth combined with disciplined program execution. THE PERSON You are a hands-on TPM who thrives in complex, fast-moving ecosystems, and can connect deep technical details to crisp program plans, executive reporting, and customer outcomes. You are comfortable driving execution in bring-up and EVT/DVT/PVT working closely with engineers to root-cause issues, unblock debug, and make data-driven tradeoffs to keep programs moving. You bring urgency, ownership, and clarity to ambiguous problem spaces and can communicate effectively from lab floor to executive review. KEY RESPONSIBILITIES Program Leadership & Execution - Define, plan, and drive program plans for AI infrastructure systems validation and readiness, including server integration, rack bring-up, and cluster-scale deployment readiness. - Create and maintain core PM artifacts: schedules, dependency maps, resource forecasts, risk/issue logs, and program dashboards/status reports. - Identify and drive mitigation plans for issues/risks, including cross-team escalations and corrective actions across multiple engineering areas. - Drive regular execution reviews with engineering teams and provide concise, data-driven updates to senior leadership. GPU & Platform Execution - Own program execution for GPU-based AI platforms, spanning system bring-up, qualification, scale readiness, and deployment validation across server, rack, and cluster levels. - Drive alignment across GPU, CPU, firmware, BIOS/BMC, and system teams to ensure readiness for scale testing and customer workloads. - Track platform issues, and debug dependencies; ensure risks are clearly documented, owned, and mitigated. AI Rack / Cluster Validation - Own program planning and execution for multi-node and multi-rack scale testing, including test strategy, scheduling, coverage tracking, and readiness gates. - Lead end-to-end delivery of rack-level AI solutions, including compute trays, switch trays, cabling, power, cooling, and management infrastructure. - Ensure rack bring-up plans are executable, resourced, and gated with clear entry/exit criteria across EVT, DVT, and scale phases. - Drive coordination across lab operations, infrastructure, and engineering teams to unblock rack access, power, networking, and test readiness. - Partner with scale, performance, and automation teams to ensure workloads, stress tests, and regressions plans are ready before hardware arrives. Debug, Failure Analysis & Risk Management - Act as the execution lead for platform debug, coordinating across engineering teams to ensure fast triage, root-cause analysis, and resolution of system-level issues. - Track high-impact failures (GPU, HSIO, FW, rack, network) through debug forums ensuring clear ownership and closure plans. - Balance debug depth vs. program timelines, escalating tradeoffs when needed and ensuring leadership has a clear view of risk and impact. REQUIRED QUALIFICATIONS - Experience leading complex hardware or AI infrastructure programs with ownership across bring-up, validation, and deployment phases. - Strong technical understanding of GPU-based AI systems, rack architectures, and datacenter infrastructure. - Proven ability to manage ambiguity, drive debug execution, and lead cross-functional teams without direct authority. - Strong written and verbal communication skills, including executive-level status reporting. - Proficiency with program management and execution tools (Jira, Confluence, dashboards, Excel/PowerPoint). PREFERRED QUALIFICATIONS - Hands-on experience with GPU cluster scale testing, system stress, or performance validation. - Familiarity with rack-level bring-up, power/cooling constraints, networking, and failure modes at scale. - Experience working through hardware/firmware debug cycles in pre-production or customer-facing environments. ACADEMIC CREDENTIALS - Bachelor’s or master’s degree in systems, EE, CS, or related engineering discipline. LOCATION Austin, TX This role is not eligible for visa sponsorship. LI-JE1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
AI Safety Business Development Manager
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: The Business Development Senior Manager entails responsibilities for working with ODM(s) to develop business and marketing strategies that compliment AMD’s initiatives; as well as enabling product development in building AMD’s enterprise platform ecosystem. Candidate will evangelize AMD technology, create, and track marketing programs success and enable ODMs sale teams through training. In this highly collaborative role, you will work with engineering, product marketing, finance, legal and executive teams. THE PERSON: We are seeking a Trustworthy AI, Safety Architect to lead safe AI innovation across global markets. This is a hybrid role blending AI governance, technical safety, hardware-based trust, and strategic ecosystem engagement. You will shape how governments, enterprises, and partners deploy open, safe, and sovereign AI on AMD solutions, across AMD’s broad AI Infrastructure portfolio (incl. GPU, CPU, AI PCs, FPGAs). Ensuring Responsible and Trustworthy AI from cloud-scale systems all the way to the edge. Your work will define how the world adopts open, safe and trustworthy AI with AMD hardware and software solutions powering secure, resilient, and sovereign AI ecosystems across nations and industries. KEY RESPONSIBILITIES: AI Safety & Governance - Lead global Trustworthy AI strategy aligned with ISO/IEC 42001, NIST RMF, EU AI Act. - Design and implement AI safety guardrails, dialogue governance, jailbreak defense, content moderation, and accuracy assurance pipelines. - Drive program management for safe-by-design development across hardware, software, and model teams. - AI Agentic Risk Governance Hardware-Based Integrity & Provenance - Translate silicon-level trust features—attestation, secure enclaves, TPM, measured boot, watermarking, provenance metadata—into differentiated safety solutions for global partners. - Define “trusted inference mode” by integrating hardware signals with software guardrails. Strategic Partnership & Ecosystem Leadership - Build research and policy collaborations with universities, governments, AAAI, standards bodies, NGOs, and industry alliances. - Represent the organization in global forums, conferences, and executive briefings. Architect safe AI deployment patterns for national AI strategies, enterprise rollouts, and sovereign AI initiatives. PREFERRED EXPERIENCE: Technical Competencies - Expertise in SLMs/LLMs, transformer architectures, inference optimization, and on-device AI. - Strong engineering background in Python, C/C++, or Rust. - Experience with safety tuning, RLHF/RLAIF, policy enforcement layers, and red-teaming. - Understanding of provenance, trusted compute, and security architectures. Governance & Program Leadership - Strong command of AI risk frameworks and global regulatory landscape. - Ability to convert governance requirements into technical controls and partner-ready solutions. - Demonstrated cross-functional leadership across hardware, software, policy, and research teams. ACADEMIC CREDENTIALS: - Bachelors or Masters degree in computer engineering/Electrical Engineering preferred. This role is not eligible for visa sponsorship. LI-TB1 LI-Hybrid Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
AI Creative Technologist
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD is seeking an AI Creative Technologist to lead the strategic integration and hands-on implementation of artificial intelligence across the global brand and creative organization. This role operates at the intersection of creativity, design, emerging technology, and production—combining visionary creative leadership with deep technical fluency and active experimentation. You will both define the AI roadmap for creative and directly prototype, build, evaluate, and deploy AI-driven solutions across concept development, design execution, content production, and workflow optimization. Working side-by-side with designers, writers, video producers, developers, Brand, Marketing, Digital, IT, Legal, and external agencies, you will validate tools in real production environments and scale solutions that elevate creative quality, accelerate output, and ensure responsible implementation. THE PERSON: This role will help shape AMD’s AI-enabled creative ecosystem—balancing innovation, governance, measurable business impact, and real-world execution. This role will define and operationalize how AMD responsibly harnesses AI to unlock creative innovation at scale—enhancing storytelling capabilities, accelerating production velocity, increasing operational efficiency, and strengthening competitive differentiation in a rapidly evolving technology landscape. Success will be measured not only by strategic direction, but by deployed workflows, embedded tools, measurable production gains, and creative outputs that demonstrate AI’s real-world value. KEY RESPONSIBILITIES: - Define and drive AI strategy across the brand and creative organization, aligning experimentation and implementation with brand, business, and marketing objectives. - Champion AI as a core tool for storytelling, concept exploration, campaign development, and production scalability. - Identify high-impact opportunities where AI can materially improve speed-to-market, personalization, localization, and content variation at scale. - Position AMD as a leader in AI-enabled creativity within the technology industry through both strategic vision and tangible output. - Actively prototype and produce AI-generated creative assets including imagery, video, motion graphics, copy variations, concept explorations, and immersive experiences. - Build and test proof-of-concept workflows that integrate AI tools directly into existing creative pipelines. - Develop scripts, lightweight tools, automations, and API integrations to streamline repetitive tasks and increase production efficiency. - Rapidly iterate campaign concepts using AI to accelerate early-stage ideation and visual exploration. - Embed within live campaign workstreams to validate AI solutions in real production environments. - Research, test, and benchmark emerging AI platforms across image, video, text, audio, and interactive modalities. - Evaluate tools for output quality, scalability, integration capability, security, IP considerations, brand safety, and enterprise readiness. - Develop structured evaluation frameworks and document findings based on hands-on experimentation. - Recommend adoption pathways and collaborate with IT, Legal, Security, and Procurement to ensure compliant and responsible implementation. - Establish best practices, prompt frameworks, documentation, and governance guidelines for sustainable AI usage across creative production. - Design and implement AI-enabled systems that enhance creative workflows from ideation through final production. - Integrate AI APIs into design systems, content platforms, and production environments where applicable. - Identify and deploy practical use cases for dynamic creative optimization, personalization, localization automation, and content scaling. - Build repeatable templates, toolkits, and playbooks that enable broader team adoption. - Mentor and upskill creative teams through workshops, embedded collaboration, and live project support. - Translate complex technical capabilities into practical creative applications for non-technical stakeholders. - Present pilot results, performance benchmarks, and scaling recommendations to senior leadership with clear articulation of creative, operational, and financial impact. - Partner closely with agencies and production partners to integrate AI into global campaign execution. PREFERRED EXPERIENCE: - Experience in creative technology, design innovation, digital production, or related fields. - Demonstrated experience integrating emerging technologies into brand or marketing ecosystems. - Strong hands-on expertise with generative AI platforms (e.g., Runway, Stable Diffusion, Midjourney, Sora, Gemini, Nano Banana, Veo, Luma, Kling, ElevenLabs, Higgsfield, etc.) across image, video, and text modalities. - Proven experience producing creative outputs using AI—not solely evaluating tools. - Proficiency in creative coding (Python, JavaScript, Processing, or similar) and experience working with APIs. - Experience building scripts, automations, or lightweight internal tools that improve creative workflows. - Familiarity with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face) and model customization concepts. - Strong understanding of creative production pipelines (design, motion, video, asset management). - Ability to balance visionary creative direction with practical execution and operational rigor. - Excellent collaboration and communication skills across creative, technical, legal, and executive stakeholders. - Experience within a global technology brand or large enterprise marketing organization. - Knowledge of intellectual property, copyright, data security, and brand safety considerations in AI-generated content. - Experience with content personalization, localization automation, or dynamic creative optimization. - Portfolio that demonstrates AI-driven creative experimentation and production work. - Background working with agencies, production partners, and cross-functional global teams. LOCATION: - Santa Clara, CA This role is not eligible for visa sponsorship. LI-SD1 LI-Hybrid Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
HPC/AI Computational Scientist / Engineer - Center...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. HPC Computational Scientist / Engineer - Center of Excellence THE ROLE: AMD’s Software and Solutions Team is seeking a HPC and AI Computational Scientist / Engineer to optimize scientific computing applications for AMD GPU platforms. This role requires strong foundational expertise in HPC application performance, GPU programming, and scientific simulation domains. As part of AMD’s GENCI Center of Excellence (COE), the engineer will collaborate directly with customer teams across academia, industry, and research laboratories to modernize, port, and tune applications for supercomputing and AI-enabled workflows. The role spans testing, tuning, performance engineering, and full-stack optimization for large-scale HPC workloads on AMD architectures. Candidates must be based in or willing to relocate to Paris, France. THE PERSON: A highly motivated and passionate computational scientist, physicist, or engineer with deep expertise in HPC performance optimization, GPU programming, and scientific application development. This individual thrives in fast-paced, highly technical, cross-functional environments—collaborating with researchers, scientific software teams, and customer HPC groups to test, port, optimize, and scale complex simulation and modeling codes across domains such as finite element analysis, computational chemistry, weather modeling, fluid dynamics, and energy systems. They will apply advanced performance engineering techniques across CPU and GPU execution paths; implement MPI, HIP, CUDA, and OpenMP parallel programming models; leverage HPC profiling tools; and contribute to emerging converged HPC/AI workflows. The ideal candidate is proficient in Fortran or C/C++, experienced with HPC build systems, both CPU & GPU, revision control practices, and comfortable supporting geographically distributed teams. They must be self-motivated, collaborative, and able to work effectively in a team environment. Additionally, they must be willing to work on-site, which is required for customer-facing responsibilities within the GENCI CoE. KEY RESPONSIBILITIES: - Develop, port, and optimize high-performance computing software and applications for use on AMD hardware - Work with other members of the COE team to collaboratively solve issues - Represent AMD to the customer and other third parties, and act as the customer advocate when presenting to AMD audiences - Engage with AMD product groups to drive resolution of customer issues - Develop and present training materials to internal audiences, at customer venues, and at industry conferences PREFERRED EXPERIENCE: - Strong experience in scientific computing disciplines, distributed-memory parallel programming, HPC profiling tools, GPU acceleration technologies , and HPC application modernisation - - Familiarity with converged HPC/AI workflows and major AI frameworks such as PyTorch or TensorFlow, as well as experience supporting large-scale simulation workloads, is highly desirable . - - Must be proficient in French and English communications ACADEMIC CREDENTIALS: - PhD in Computer Science, Computational Physics, Engineering or related subjects, or equivalent experience - - At least 7 years of relevant HPC and/or AI GPU experience in research or industry LI-GS1 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Lead AI/ML Software Use Cases Validation Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. AI/ML Software Use Cases Validation Engineer (Lead) About the Role Join AMD’s PAVS team as a Robotics Usecases Validation Engineer where you will Validate and Execute diverse Robotics platforms, variants and customer usecases for advanced robotics systems across software, hardware, and integrated platforms. Your work will ensure safety, reliability, and performance through rigorous testing in simulation, SIL/HIL environments, and real-world deployments. Job Summary We are seeking a Lead AI/ML Member of Technical Staff (MTS) with 8–12 years of experience to own and drive validation of AI/ML compute stacks and Physical AI SDKs. This role leads end‑to‑end AI pipeline validation, benchmarking, and performance optimization on Linux platforms, working closely with architecture, compiler, runtime, and hardware teams to deliver production‑quality AI solutions aligned to real customer use cases. Key Responsibilities - Lead validation and quality ownership of AI/ML compute stacks on Ubuntu and Yocto - Define validation strategy, test architecture, and coverage across functional, performance, stress, regression, and scalability testing - Own and drive the defect lifecycle , including triage, root cause analysis, and closure - Validate end‑to‑end AI pipelines , including: - Model training, conversion, and optimization (e.g., PyTorch → ONNX) - Kernel execution, memory transfers, and inference accuracy - Define and execute AI benchmarking and profiling strategies for training and inference workloads - Analyze compute, memory, and latency bottlenecks and drive system‑level and model‑level optimizations - Validate AI frameworks and runtimes ( PyTorch, TensorFlow, ONNX Runtime ) - Execute and optimize workloads on ROCm/HIP, CUDA, OpenCL, and heterogeneous accelerators - Design and own Python‑based automation frameworks for validation, benchmarking, and reporting - Drive improvements in validation scalability, efficiency, and performance coverage - Collaborate closely with compiler, runtime, driver, and hardware teams - Provide technical leadership and mentorship to senior and junior engineers - Communicate validation status, performance metrics, and quality risks to stakeholders Required Skills & Qualifications Technical - 8–12 years of experience in AI/ML software validation or performance engineering - Strong expertise in Python scripting and test automation - Strong ML fundamentals including deep learning and LLMs - Hands‑on experience with ROCm validation , performance profiling, and optimization - Experience with HIP, CUDA, OpenCL , and TensorFlow/PyTorch integrations - Proven experience validating end‑to‑end AI pipelines - Strong Linux expertise ( Ubuntu, Yocto ) Validation & Process - Performance‑driven validation mindset with focus on production readiness - Ability to lead initiatives independently with strong ownership Soft Skills Strong analytical and problem‑solving skills with clear written and verbal communication, and the ability to collaborate effectively with global, cross‑functional teams. Education Bachelor’s or Master’s degree in AI/ML, Robotics, Electronics, Computer Science, or a related field. LI-NR1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Technical Marketing Engineer – AI Training Workloa...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD is committed to delivering exceptional AI training performance across the full model lifecycle. Ease of use, clarity, and strong technical enablement are core to how our customers succeed with AMD technologies. As a Technical Marketing Engineer (TME) within the Software Product Management organization for AMD’s Data Center GPU Business Unit, you will play a critical role in helping customers achieve optimal performance and efficiency when training and adapting models on AMD Instinct GPUs. In this role, you will bridge deep technical expertise with clear communication, helping customers, partners, and internal teams understand how AMD GPUs unlock performance and value across AI training workloads and industry benchmarks. Your work will ensure customers can get productive quickly, supported by high-quality documentation, performance insights, and hands-on examples that remove friction and accelerate adoption. THE PERSON: Are you an engineering expert with a talent for pushing AI training workloads to the limits? Are you passionate about optimizing large-scale model training, understanding distributed systems, and analyzing performance bottlenecks across complex environments? We seek someone who thrives at the intersection of performance engineering and technical storytelling—someone who can deeply understand AI training workloads and communicate practical strategies to improve performance, scalability, and efficiency. KEY RESPONSIBLITIES: - Partner with AMD’s AI software engineering team to develop performance-focused technical content for AI training workloads, including optimization guides, benchmarking results, scaling studies, and tuning methodologies. - Serve as a subject matter expert on AI training performance across the full model lifecycle, including: - Large-scale pre-training (foundation models) - Fine-tuning and parameter-efficient methods (e.g., LoRA, PEFT) - Reinforcement learning workflows (e.g., RLHF, RLAIF) - Distillation and model compression techniques - Quantization-aware training (QAT) - Develop and publish deep technical content for training workloads, including: - Performance analysis and bottleneck breakdowns - Scaling studies (single-node and multi-node) - Optimization guides for both pre-training and post-training workflows - Distributed training best practices (data/model/pipeline parallelism) - Workload-specific tuning strategies and competitive positioning insights - Analyze and optimize training performance across key system dimensions, including compute utilization, memory efficiency, communication overhead, and scaling behavior in distributed environments. - Engage with internal and external experts to validate performance claims against real-world scenarios and large-scale training runs. - Validate and analyze training performance results from internal benchmarks and customer proof-of-concept (POC) engagements, ensuring accuracy, reproducibility, and credibility. - Partner with engineering to translate low-level optimizations (kernels, communication patterns, memory usage) into actionable guidance and influence product improvements based on real-world workload feedback. - Stay current on industry training frameworks, distributed training strategies, and emerging techniques, identifying where AMD platforms deliver differentiated performance. - Act as a bridge between engineering, field teams (FAE/FDE), and business stakeholders, ensuring alignment on training performance capabilities, best practices, and messaging. - Design and deliver technical enablement (e.g., workshops, demos, technical sessions) to help internal teams and customers optimize AI training workloads. - Build deep empathy for the challenges faced by solutions architects and engineers deploying AMD GPUs, and create documentation that proactively removes barriers to adoption. - Actively gather and incorporate feedback from customers, field teams, and internal technical experts to continuously improve content quality and relevance. - Lead by example in documentation excellence, mentoring and influencing peers to raise the overall quality, consistency, and effectiveness of technical materials. - Communicate with clarity, integrity, and transparency across written, verbal, and visual formats PREFERRED EXPERIENCE: - Experience optimizing AI training workloads on GPUs or accelerators at scale. - Hands-on experience with distributed training frameworks (e.g., PyTorch, DeepSpeed, Megatron-LM). - Strong programming skills in Python and/or C/C++. - Experience with ROCm, CUDA, or similar GPU compute stacks. - Experience working with ISVs, hyperscalers, or large-scale AI deployments. - Background in solution validation, benchmarking, or certification frameworks is highly desirable. - Proven ability to create high-quality technical documentation and performance guides. - Proven experience delivering technical presentations, workshops, or participating in industry conferences, meetups, or hackathons. - Expertise in modern documentation and publishing workflows, including Markdown, Read the Docs, and Jupyter Notebooks. - Proficiency with standard productivity and publishing tools (e.g., Microsoft Office, Adobe Acrobat) used for technical documentation and training delivery. - Confidence presenting complex technical material in customer‑facing settings within a fast‑paced, large‑scale organization. ACADEMIC CREDENTIALS - BS in Computer Science, Computer Engineering, Electrical Engineering, or a related field required, MS or PhD is a plus. LOCATION Santa Clara, CA This role is not eligible for visa sponsorship. LI-SL2 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
AI/HPC Data Center Rack Design Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE We are seeking a highly skilled systems engineer to design data center rack layouts for AI/HPC clusters. This role involves evaluating and selecting rack-level compute, storage, networking, power delivery, and cooling solutions to optimize performance and reliability across global deployments. You will collaborate with cross-functional teams to deliver cutting-edge infrastructure for AI and high-performance computing workloads. THE PERSON An experienced systems engineer with a strong background in HPC, AI infrastructure, and data center engineering. You bring deep technical knowledge of data center rack layout, compute and networking components, a strategic mindset for system-level design, and the ability to collaborate across diverse technical domains. You thrive in fast-paced environments and are passionate about building efficient, scalable, and reliable compute platforms. KEY RESPONSIBILITIES - Rack & Cluster Design - Design scalable AI/HPC data center rack layouts including compute, storage, networking, power delivery and cooling - Translate high level requirements and architecture input into detailed rack designs - Design leading-edge thermal and power delivery for high-density deployments - Network - Design intra-rack and rack-to-rack network connections to maximize overall cluster performance - Translate network architecture requirements and input into rack-level designs - Understand the network performance needs of different types of workloads - Understand advantages and performance trade-offs of network topologies for AI/HPC clusters - Power - Design rack-level and data center power delivery infrastructure - Define power budgets, redundancy schemes, and fault tolerance mechanisms - Understand differences in power delivery and regulatory requirements in global locations, e.g. U.S., EMEA, Asia and other countries - Storage - Translate storage architecture requirements and input into rack-level designs - Design and optimize storage solutions to maximize AI/HPC cluster performance - Understand advantages and performance trade-offs of cluster storage solutions, e.g. Lustre, Ceph, etc. - Collaboration - Work across multiple organizations with subject matter experts from hardware, software, network, data center, and operations teams to deliver scalable, efficient, and reliable compute infrastructure. PREFERRED EXPERIENCE - Extensive experience in HPC, AI infrastructure, or data center systems engineering - Experience with liquid cooling or advanced thermal management - Experience with rack level power distribution - Contributions to open-source HPC or AI infrastructure projects ACADEMIC CREDENTIALS - Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science LI-KW1 This role is not eligible for Visa sponsorship. Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Staff Finance Analyst - AI Group
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: The Staff Analyst will report to the Director of Strategic Finance and serve as a key member of the AI Group (AIG) Finance team. This role acts as a finance partner to the AI and GPU business, supporting Cloud and Hyperscaler engagements, Contract Review Board (CRB) management, and deal-related financial analysis. The position sits at the intersection of finance and business operations—providing financial modeling, contract analysis, and reporting to support commercial decision-making. This role will work closely with Business Development, Sales, Legal, Accounting, and cross-functional teams to evaluate deal economics, ensure alignment on financial assumptions, and support execution through the deal lifecycle. This is a high-impact, execution-focused role requiring strong modeling skills, attention to detail, and the ability to operate effectively in a fast-paced, evolving environment. THE PERSON: We are seeking a highly analytical and detail-oriented finance professional who is comfortable working directly with business partners on commercial and operational topics. The ideal candidate brings strong financial modeling skills, a solid understanding of core finance and accounting concepts, and the ability to translate contract terms into financial outcomes. You are a self-starter with a strong ownership mindset, capable of balancing structured FP&A responsibilities with deal-driven analysis. The successful candidate communicates clearly, builds strong relationships, and thrives in a dynamic environment where priorities shift and timelines are often compressed. KEY RESPONSIBILITIES: - Partner with Business Development and Sales to support Cloud and Hyperscaler deals, including financial modeling, scenario analysis, and business case support - Provide financial support through the deal lifecycle, including pricing analysis, investment tracking, and evaluation of commercial terms - Own and manage the Contract Review Board (CRB) process from a finance perspective, including coordinating reviews, preparing materials, and ensuring financial risks and impacts are clearly understood and communicated - Review and interpret customer contracts and deal terms to assess financial implications and ensure alignment with internal assumptions and policies - Build and maintain financial models to evaluate deal economics, profitability, and key sensitivities - Partner with Accounting and Finance teams to ensure appropriate financial treatment and alignment on assumptions - Develop and deliver reporting and presentations to support deal approvals, business reviews, and leadership updates - Create and improve tools, templates, and processes to drive consistency and scalability in deal analysis and CRB workflows - Perform ad hoc analysis and provide insights to support business decision-making in a fast-paced environment PREFERRED EXPERIENCE: - Proven experience in FP&A, commercial finance, or related roles - Strong financial modeling skills with advanced proficiency in Excel - Experience supporting customer deals, pricing, or contract-related financial analysis - Familiarity with contract review and interpreting financial/commercial terms - Working knowledge of accounting concepts (e.g., revenue recognition, accruals) - Strong communication and presentation skills, including PowerPoint, with the ability to synthesize analysis into clear insights - Semiconductor, cloud, or broader technology industry experience preferred ACADEMIC CREDENTIALS: - Bachelor’s degree in Finance, Accounting, Economics, or related field - MBA, CPA, or CFA is a plus, but not required LOCATION : San Jose, CA This role is not eligible for visa sponsorship. LI-GW1 LI-Hybrid Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Principal Software Quality Engineer – GPU & Machin...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are seeking a Principal Software Engineer to serve as the senior technical leader for ROCm software validation across compute workloads and server-class systems. In this individual-contributor leadership role, you will define how AMD proves ROCm is ready to ship — from unit and component testing, through full-stack workload validation, to multi-node system-level qualification on AMD Instinct™ GPU platforms. You will set the technical direction for validation strategy, build and evolve the test infrastructure that gates every ROCm release, and personally drive the hardest debugging, characterization, and qualification problems. Your work directly determines the quality bar experienced by hyperscalers, OEMs, sovereign-AI customers, and the open-source community running ROCm in production. THE PERSON: You will set the technical direction for validation strategy, build and evolve the test infrastructure that gates every ROCm release, and personally drive the hardest debugging, characterization, and qualification problems. Your work directly determines the quality bar experienced by hyperscalers, OEMs, sovereign-AI customers, and the open-source community running ROCm in production. KEY RESPONSIBILITIES: - Own the end-to-end validation architecture for ROCm — unit, integration, framework, workload, performance, stress, stability, scale-out, and system-level test layers — across multiple GPU generations and server platforms. - Define release-qualification gates and exit criteria for ROCm software releases (functional coverage, performance regressions, stability hours, scale targets, RAS criteria) and drive the org to meet them. - Architect the test infrastructure — distributed test runners, GitHub Actions / Jenkins / internal CI fleets, hardware lab orchestration, result data lakes, flaky-test detection, bisection automation, and self-service developer pre-submit pipelines. - Champion modern, agile quality engineering — shift-left testing, test pyramids, contract testing between layers, hermetic test environments, deterministic reproducers, and continuous validation in trunk. - Set the bar for GitHub-based quality workflows — PR gating policy, required checks, code-coverage standards, bug-bash and triage cadences, and disciplined issue management across ROCm/* repositories and partner upstream projects. - Lead complex escalation debug — partner with development, hardware, firmware, and customer-facing teams to root-cause the hardest multi-day, multi-node, multi-component failures and convert findings into durable test coverage. - Influence the roadmap — work with product management, silicon, platform, and software architecture to ensure validation readiness for next-generation Instinct GPUs and server platforms before tape-in milestones and silicon arrival. - Mentor and elevate Senior and Staff validation engineers, SDETs, and SQA leads; raise the technical bar through design review, code review, and written guidance. - Represent ROCm validation externally — strategic customer engagements, OEM qualification programs, and open-source community quality initiatives. - Lead system-level testing for server nodes — multi-GPU topologies, PCIe/Infinity Fabric/xGMI, BMC/IPMI, thermal/power, firmware interactions, and multi-node fabric (Ethernet/InfiniBand/UALink) bring-up and validation. Drive compute workload validation and characterization — LLM training and inference (PyTorch, vLLM, Triton, JAX), recommender systems, scientific HPC kernels, MLPerf-class benchmarks — establishing reproducible methodology, baselines, and regression tracking. PREFERRED EXPERIENCE: - Software engineering experience in validation, SDET, or quality engineering, including experience leading complex systems validation. - Expert Python for test automation and infrastructure; strong C++ for debugging and extending production code. - Deep validation expertise in two or more of the following: - GPU software stacks (ROCm, CUDA, oneAPI, SYCL) - AI/ML frameworks (PyTorch, TensorFlow, JAX, Triton, vLLM) - HPC runtimes and communication libraries (MPI, RCCL/NCCL, UCX, Libfabric) - Linux kernel, GPU drivers, or accelerator firmware - Distributed systems and large-scale cluster software - Experience validating multi-GPU, multi-node server platforms, including stress, soak, fault injection, and RAS testing. - Experience defining and delivering release qualification programs for hyperscalers, OEMs, or Tier-1 customers. - Contributions to validation, CI, or test infrastructure for ROCm, PyTorch, LLVM, Triton, vLLM, or similar open-source projects. - Experience leading adoption of agentic AI workflows, including automated testing, AI-driven debugging, MCP, and RAG-based engineering solutions. - Experience validating or operating large-scale GPU clusters (256+ GPUs), including fabric bring-up, health monitoring, and diagnostics. - Familiarity with AI training, inference, and HPC benchmark methodologies. - Experience with performance validation, profiling tools (rocprof, Omniperf, Nsight), and regression analysis. - Familiarity with hardware lab automation, including BMC/IPMI/Redfish, PDU control, serial consoles, automated re-imaging, and topology-aware scheduling. - Experience supporting validation for pre-silicon, emulation, and first-silicon accelerator bring-up. ACADEMIC CREDENTIALS: - BS/MS/PhD in Computer Science, Computer Engineering, or related discipline (or equivalent demonstrated experience). LOCATION: San Jose, California LI-DR1 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Principal Software Developer – AI/ML Performance V...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are seeking a Principal Software Engineer to serve as the senior technical leader for ROCm software validation across compute workloads and server-class systems. In this individual-contributor leadership role, you will define how AMD proves ROCm is ready to ship — from unit and component testing, through full-stack workload validation, to multi-node system-level qualification on AMD Instinct™ GPU platforms. You will set the technical direction for validation strategy, build and evolve the test infrastructure that gates every ROCm release, and personally drive the hardest debugging, characterization, and qualification problems. Your work directly determines the quality bar experienced by hyperscalers, OEMs, sovereign-AI customers, and the open-source community running ROCm in production. THE PERSON: You will set the technical direction for validation strategy, build and evolve the test infrastructure that gates every ROCm release, and personally drive the hardest debugging, characterization, and qualification problems. Your work directly determines the quality bar experienced by hyperscalers, OEMs, sovereign-AI customers, and the open-source community running ROCm in production. KEY RESPONSIBILITIES: - Own the end-to-end validation architecture for ROCm — unit, integration, framework, workload, performance, stress, stability, scale-out, and system-level test layers — across multiple GPU generations and server platforms. - Define release-qualification gates and exit criteria for ROCm software releases (functional coverage, performance regressions, stability hours, scale targets, RAS criteria) and drive the org to meet them. - Architect the test infrastructure — distributed test runners, GitHub Actions / Jenkins / internal CI fleets, hardware lab orchestration, result data lakes, flaky-test detection, bisection automation, and self-service developer pre-submit pipelines. - Champion modern, agile quality engineering — shift-left testing, test pyramids, contract testing between layers, hermetic test environments, deterministic reproducers, and continuous validation in trunk. - Set the bar for GitHub-based quality workflows — PR gating policy, required checks, code-coverage standards, bug-bash and triage cadences, and disciplined issue management across ROCm/* repositories and partner upstream projects. - Lead complex escalation debug — partner with development, hardware, firmware, and customer-facing teams to root-cause the hardest multi-day, multi-node, multi-component failures and convert findings into durable test coverage. - Influence the roadmap — work with product management, silicon, platform, and software architecture to ensure validation readiness for next-generation Instinct GPUs and server platforms before tape-in milestones and silicon arrival. - Mentor and elevate Senior and Staff validation engineers, SDETs, and SQA leads; raise the technical bar through design review, code review, and written guidance. - Represent ROCm validation externally — strategic customer engagements, OEM qualification programs, and open-source community quality initiatives. - Lead system-level testing for server nodes — multi-GPU topologies, PCIe/Infinity Fabric/xGMI, BMC/IPMI, thermal/power, firmware interactions, and multi-node fabric (Ethernet/InfiniBand/UALink) bring-up and validation. Drive compute workload validation and characterization — LLM training and inference (PyTorch, vLLM, Triton, JAX), recommender systems, scientific HPC kernels, MLPerf-class benchmarks — establishing reproducible methodology, baselines, and regression tracking. PREFERRED EXPERIENCE: - Software engineering experience in validation, SDET, or quality engineering, including experience leading complex systems validation. - Expert Python for test automation and infrastructure; strong C++ for debugging and extending production code. - Deep validation expertise in two or more of the following: - GPU software stacks (ROCm, CUDA, oneAPI, SYCL) - AI/ML frameworks (PyTorch, TensorFlow, JAX, Triton, vLLM) - HPC runtimes and communication libraries (MPI, RCCL/NCCL, UCX, Libfabric) - Linux kernel, GPU drivers, or accelerator firmware - Distributed systems and large-scale cluster software - Experience validating multi-GPU, multi-node server platforms, including stress, soak, fault injection, and RAS testing. - Experience defining and delivering release qualification programs for hyperscalers, OEMs, or Tier-1 customers. - Contributions to validation, CI, or test infrastructure for ROCm, PyTorch, LLVM, Triton, vLLM, or similar open-source projects. - Experience leading adoption of agentic AI workflows, including automated testing, AI-driven debugging, MCP, and RAG-based engineering solutions. - Experience validating or operating large-scale GPU clusters (256+ GPUs), including fabric bring-up, health monitoring, and diagnostics. - Familiarity with AI training, inference, and HPC benchmark methodologies. - Experience with performance validation, profiling tools (rocprof, Omniperf, Nsight), and regression analysis. - Familiarity with hardware lab automation, including BMC/IPMI/Redfish, PDU control, serial consoles, automated re-imaging, and topology-aware scheduling. - Experience supporting validation for pre-silicon, emulation, and first-silicon accelerator bring-up. ACADEMIC CREDENTIALS: - BS/MS/PhD in Computer Science, Computer Engineering, or related discipline (or equivalent demonstrated experience). LOCATION: San Jose, California LI-DR1 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Senior Manager, AI Memory & Storage Ecosystem Part...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: As a Senior Manager (Individual Contributor), AI Ecosystem Memory & Storage Partnerships, you will help shape AMD’s next‑generation Data Center GPU and AI infrastructure platforms. This partner‑facing role focuses on driving ecosystem strategy across memory, storage, and CPU partners to accelerate AI adoption and grow AMD Instinct™ GPU market share. You will serve as a product management subject‑matter expert, working closely with ecosystem partners, hyperscale’s, and internal engineering teams to align roadmaps, influence architecture, and translate market needs into product strategy. As part of AMD’s Data Center GPU Ecosystem team, you will bring structure and execution discipline to a complex and rapidly evolving partner landscape. THE PERSON: You bring deep experience across data center GPUs, memory, storage, CPUs, and AI workloads, along with strong partner engagement, communication, and strategic thinking skills. You are self‑directed, comfortable operating through ambiguity, and able to influence across organizations without direct authority. KEY RESPONSIBILITES: - Own and manage strategic memory, storage, and CPU ecosystem partnerships aligned to AMD’s AI and Data Center GPU strategy - Lead partner roadmap alignment, identify opportunities and gaps, and drive ecosystem execution - Evangelize AMD Instinct™ GPU technologies with ecosystem and solution partners - Translate customer, partner, and market insights into clear product strategies and requirements - Lead cross‑functional initiatives including long‑term ecosystem planning and multi‑generation roadmap alignment - Support key customer and partner engagements, including hyperscale’s and system vendors - Represent AMD in standards bodies and industry forums where applicable PREFERRED EXPERIENCE: - Experience in the computing industry (OEM, ODM, CSP, or Semiconductor) - Strong background in memory and storage technologies for large‑scale data centers - Familiarity with AI workloads, infrastructure, and software stacks - Experience with industry standards organizations (e.g., JEDEC, SNIA) - Proven ability to influence senior stakeholders and manage multiple initiatives - Background in product management, systems engineering, or architecture‑driven roles EDUCATION: - BS or MS in Electrical Engineering, Computer Engineering, Computer Science, or related field LOCATION: - Santa Clara, CA and Austin, TX preferred - Other locations may be considered for the right candidate This role is not eligible for visa sponsorship. LI-EV1 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Principal/Senior Robotics AI Architect
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are seeking a Robotics AI Architect to define and scale next-generation Physical AI systems, with a focus on complex robotic platforms (including humanoids). This role emphasizes architectural leadership across multi-layer AI control loops and tight collaboration with lighthouse customers to achieve production-grade performance targets. THE PERSON: As a key technical authority, you will synthesize learnings from real-world deployments and translate them into platform-defining capabilities, shaping the roadmap for our AI SDKs, runtime, and reference architectures to enable broad ecosystem scalability. KEY RESPONSIBILITIES: - End-to-End AI Control Loop Architecture (Core Focus) - Define architecture for hierarchical AI control loops, including: - Perception (sensor fusion, VLMs, state estimation) - World modeling and scene understanding - Task and motion planning - Low-latency control and actuation - Learning and adaptation loops - Establish timing models and system-level constraints: - Deterministic execution for control loops (µs–ms) - Bounded latency for perception/planning (ms-scale) - Guide architectural decisions to: - Minimize latency, jitter, and data movement - Optimize compute utilization across heterogeneous systems - Influence compute-software co-design across CPU, GPU, and accelerators - Lighthouse Customer Co‑Engineering - Act as architectural lead for strategic/lighthouse customers, guiding: - System design decisions - Performance trade-offs - Deployment architecture - Influence customer implementations to align with: - Platform best practices - Scalable architectural patterns - Translate real-world constraints (latency, power, safety) into: - Platform requirements - Architecture refinements - Lead deep technical engagements, including: - Architecture and design reviews - Performance tuning strategies - System-level debugging approaches - Influencing Robotics Reference Architectures, Platform Architecture & SDKs Define reference architecture for complex robotic systems (humanoids, high-DoF manipulators, mobile manipulation platforms), establishing industry-leading blueprints for Physical AI systems - Influence architectural partitioning strategies across: - On-robot compute (real-time loops) - Edge/accelerator subsystems - Cloud (training, simulation, fleet learning) - Provide architectural guidance on: - Whole-body control integration - Locomotion and balance systems - Dexterous manipulation pipelines - Multi-modal perception stacks - Serve as a bridge between lighthouse deployments and platform evolution, translating system-level insights into: - SDK feature direction - Runtime and middleware enhancements - Reference pipeline abstractions - Shape the roadmap of: - Physical AI SDK and runtime frameworks - Robotics middleware integrations (ROS2 and beyond) - Dataflow and scheduling architectures for deterministic execution - Identify systemic gaps and influence solutions in: - Scheduling and orchestration models - Memory and dataflow efficiency - Inter-process/inter-node communication - Real-time guarantees and QoS mechanisms - Drive the creation of scalable architectural patterns, including: - Reusable operator graphs and pipelines - Standardized deployment topologies - Benchmark and validation frameworks - Ensure that lighthouse customer learnings are abstracted and generalized into: - Repeatable reference architectures - Platform capabilities consumable across a wide customer base PREFERRED EXPERIENCE: - Experience in Robotics, Autonomous systems AI architecture, definition and development, RL work, Sim-to-real, cloud-to-sim, real-to-sim/cloud from AI perspective. - Proven technical leadership experience influencing external and internal stakeholders - Deep understanding of: - AI inference runtimes and deployment tradeoffs - System architecture level CPU/GPU/NPU scheduling and contention - System‑level performance, latency, and isolation - Software frameworks and usage (multimedia, ROS2, OpenCV, gstreamer etc.) - Industry leading SW inference frameworks (vLLM etc.), runtimes, tools - Performance bottleneck, characterization - Determinism, real-time and safety considerations in mixed-criticality systems - Ability to engage credibly with customer’s engineering leaders, AI architects - Track record of transforming customer deployments into platform and roadmap feedback - Hands-on architects who can guide engineers, debug problems, create innovative PoCs as well as abstract unnecessary details for executive presentations - Familiarity/experience with AMD GPU and NPU AI SW stacks and tools will be a plus ACADEMIC CREDENTIALS: - Bachelor’s or Master’s in Electrical Engineer, Computer Engineering, Computer Science, or a closely related field This role is not eligible for visa sponsorship. LI-JG1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
AI/ML Engineer – Generative AI
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE AMD is seeking an experienced AI/ML Engineer to join our Applied Research and Engineering team focused on advancing the next generation of Generative AI technologies. In this role, you will develop and optimize state-of-the-art AI models for image generation, diffusion-based learning, and multimodal applications that push the boundaries of visual computing. You will work alongside industry-leading researchers, software engineers, and hardware architects to build innovative AI solutions that leverage AMD’s latest GPU technologies and accelerate the future of content creation, graphics, and intelligent computing. THE PERSON The ideal candidate is passionate about Generative AI, machine learning, and developing cutting-edge models that solve complex real-world problems. You are comfortable working in a fast-paced research and engineering environment, possess strong software development skills, and enjoy collaborating across multidisciplinary teams. You have a deep understanding of modern AI architecture and are excited about translating research into production-scale solutions. KEY RESPONSIBILITIES - Develop, train, fine-tune, and optimize Generative AI models for image generation and visual content creation. - Design and implement diffusion models, multimodal architectures, and advanced machine learning algorithms. - Build scalable training and inference pipelines leveraging high-performance GPU computing. - Evaluate model quality, performance, and efficiency using state-of-the-art techniques and benchmarks. - Collaborate with research, software, and hardware teams to integrate AI innovations into AMD technologies. - Optimize AI workloads for AMD GPU architectures and contribute to performance analysis and improvements. - Stay current with emerging advancements in Generative AI, image synthesis, diffusion models, and large-scale machine learning. PREFERRED EXPERIENCE - Strong software development experience in Python and C++. - Deep understanding of machine learning, deep learning, and neural network architectures. - Experience developing and training diffusion models, image generation models, GANs, transformers, or multimodal AI systems. - Hands-on experience with PyTorch, TensorFlow, JAX, or similar machine learning frameworks. - Experience fine-tuning and deploying large-scale AI models. - Familiarity with distributed training, model optimization, and GPU acceleration techniques. - Experience building AI training and inference pipelines in production environments. - Knowledge of computer vision, image synthesis, and multimodal learning techniques. - Experience with MLOps, CI/CD workflows, Git, and modern software engineering practices. - Experience leveraging AI coding assistants, agentic AI systems, or automated development workflows. - Strong communication, collaboration, and problem-solving skills. ACADEMIC CREDENTIALS Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Engineering, or a related technical field preferred. LOCATION: San Jose, California LI-CS1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Principal AI Performance Modeling Architect
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: As a Principal Engineer, you will spearhead the next generation of AI infrastructure by defining GPU architecture specifications that enable massive model training at scale. Your expertise will drive 2-3x performance gains in both training and inference pipelines through innovative system design and optimization. You will champion the adoption of cutting-edge techniques across the engineering organization, from efficient attention mechanisms to advanced parallelization strategies. By establishing comprehensive best practices for distributed ML systems, you will create a framework that enables seamless scaling from single-GPU to thousand-GPU deployments. THE PERSON: You have a deep understanding of GPU microarchitecture, memory hierarchies, and their impact on large-scale ML workloads You are passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. You are able to communicate effectively and work optimally with different teams across AMD. KEY RESPONSIBILITIES: - Lead performance modeling and optimization for multi-trillion parameter LLM training/inference including Dense, Mixture of Experts (MoE) with multiple modalities (text, vision, speech) - Model/optimize novel parallelization strategies across tensor, pipeline, context, expert and data parallel dimensions - Architect memory-efficient training systems utilizing techniques like structured pruning, quantization (MX formats), continuous batching/chunked prefill, speculative decoding - Incorporate and extend SOTA models such as GPT-4, Reasoning models (Deepseek-R1), and multi-modal architectures - Collaborate with internal and external stakeholders/ML researchers to disseminate results and iterate at rapid pace. REQUIRED EXPERIENCE: - Extensive and Senior experience optimizing large-scale ML systems and GPU architectures - Deep expertise in CUDA programming, GPU memory hierarchies, and hardware-specific optimizations - Proven track record architecting distributed training systems handling large scale systems - Expert knowledge of transformer architectures, attention mechanisms, and model parallelism techniques PREFERRED EXPERIENCE: - PyTorch, CUDA, TensorRT, OpenAI Triton - Distributed systems: Ray, Megatron-LM - Performance analysis tools: NSight Compute, nvprof, PyTorch Profiler - KV cache optimization, Flash Attention, Mixture of Experts - High-speed networking: InfiniBand, RDMA, NVLink ACADEMIC CREDENTIALS: - Bachelors, MS/PhD in Computer Science/Engineering or equivalent industry experience LOCATION: Austin, Tx or Santa Clara, Ca strongly preferred; Remote is a possibility for the right candidate This role is not eligible for visa sponsorship. LI-RL1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Hardware System Architecture Fellow - AI & Data Ce...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: The Hardware System Architecture Fellow – AI & Data Center Networking is the highest‑impact individual contributor responsible for defining and driving end‑to‑end hardware system architecture for AMD’s next‑generation AI and data center networking platforms. This role provides system‑level technical leadership, spanning architecture definition, cross‑domain trade‑offs, and resolution of the most complex hardware challenges across AI‑NICs, DPUs, switches, and rack‑scale networking solutions. THE PERSON: The Fellow operates with enterprise‑scale technical authority, shaping multi‑generation system architectures and influencing execution across ASIC, packaging, board, optics, power, thermal, mechanical, firmware, and manufacturing domains, without direct people management responsibility. The ideal candidate is a recognized technical leader with deep system expertise, strong architectural judgment, and the ability to influence across organizations through credibility, clarity, and technical depth. KEY RESPONSIBILITIES: - System Architecture & Technical Vision - Define system‑level architecture for AI scale‑out and scale‑up networking platforms, translating product and business requirements into robust, scalable hardware solutions. - Drive architectural decisions across chip‑to‑system boundaries, including interconnect topology, board and system partitioning, power delivery strategy, signal integrity constraints, and platform extensibility. - Lead early‑phase system feasibility analysis, proactively identifying risks, trade‑offs, and technology inflection points. - Cross‑Domain Technical Leadership - Serve as the primary technical authority for system‑level challenges spanning ASIC, packaging, board design, optics, power, thermal, and mechanical integration. - Resolve the most complex bring‑up, validation, and field issues, synthesizing cross‑domain data to drive root‑cause closure and architectural improvements. - Ensure architectural intent is preserved through design, validation, and production ramp. Methodology & Engineering Standards - Establish and evolve system architecture best practices, review frameworks, and decision‑making methodologies across NTSG. - Define standardized architecture review and system validation flows to improve predictability, reuse, and overall execution quality. - Champion a disciplined system‑level engineering mindset across hardware development organizations. Influence, Mentorship & Technical Leadership - Influence senior engineers, architects, and leaders across organizations through technical depth and credibility, rather than authority. - Mentor Principal and PMTS engineers on system architecture, trade‑off analysis, and Fellow‑level technical growth. - Represent NTSG in cross‑organization architecture reviews and Fellow‑level technical forums. Strategic Impact - Shape multi‑generation system and platform roadmaps aligned with AMD’s AI networking strategy. - Anticipate and lead architectural transitions in bandwidth scaling, optical adoption, power density, and rack‑level integration. - Guide organizations through major architectural shifts while minimizing execution risk. QUALIFICATIONS: Required - Deep expertise in system‑level hardware architecture for networking, AI infrastructure, or data center platforms. - Proven track record of architecting and delivering complex hardware systems across multiple product generations. - Broad understanding of board design, power delivery, signal integrity, system validation, and high‑speed bring‑up. - Demonstrated ability to solve ambiguous, cross‑domain problems with significant technical and business impact. Preferred - Experience with AI scale‑out networking systems, including AI‑NICs, DPUs, or high‑bandwidth switching platforms. - Familiarity with advanced interconnect and packaging technologies and their system‑level implications. - Demonstrated enterprise‑level technical influence (e.g., architecture ownership, critical platform delivery, or Fellow trajectory). - Recognized industry or academic thought leadership, with publications, patents, or standards contributions. IMPACT & SCOPE - Drives company‑level architecture, product readiness, and technical direction for AI networking platforms. - Acts as the system architecture backbone, connecting long‑term strategy to execution across multiple organizations. - Defines and continuously raises the technical bar for system architecture excellence within NTSG. ACADEMIC CREDENTIALS Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field PhD preferred LOCATION: Santa Clara, CA This role is not eligible for visa sponsorship. LI-RF1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
ASIC Design Engineer - Networking/ DPU/ AI Systems
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE TEAM: Our group, NTSG, develops advanced system solutions that combine ASIC, hardware, and software to enable next-generation AI networking workloads. We are building highly integrated, high-performance networking systems and are looking for experienced ASIC engineers to help drive development from architecture through production. THE ROLE: We are seeking a Senior ASIC Design Engineer with seasoned experience in the development of high-speed, complex ASICs. The ideal candidate has hands-on experience across the full ASIC development cycle — from RTL architecture and design through tapeout, silicon bring-up, and mass production. THE PERSON: We are seeking a Senior ASIC Design Engineer with seasoned experience in the development of high-speed, complex ASICs. The ideal candidate has hands-on experience across the full ASIC development cycle — from RTL architecture and design through tapeout, silicon bring-up, and mass production. KEY RESPONSIBILITIES: - Architect and design key blocks for next-generation DPU ASICs targeting AI networking workloads - Contribute across the full ASIC development lifecycle - architecture definition - microarchitecture and RTL design - design reviews - implementation support - tapeout - silicon bring-up - production ramp and mass deployment support - Collaborate on advanced network processing engines, including P4-based, protocol-independent packet processing solutions - Design and implement high-speed, complex ASIC blocks for networking and data movement applications - Work closely with verification, modeling, software, and hardware teams to ensure functional correctness and system-level performance - Debug and resolve issues across simulation, emulation, lab bring-up, and post-silicon phases - Contribute to performance, power, and area optimization - Support integration of ASIC IPs into larger SoC and system architectures - Produce high-quality design documentation and participate in technical reviews REQUIRED QUALIFICATIONS: - Seasoned ASIC design experience - Proven hands-on experience developing high-speed, complex ASICs - Strong experience across the complete ASIC development cycle, from RTL architecture to tapeout to mass production - Solid background in networking and packet-processing architectures - Experience collaborating across: - Verification - Modeling - Software - Hardware/system teams - Strong RTL design skills in: - Verilog - SystemVerilog - Strong programming skills in: - C/C++ - Scripting experience in: - Python - Tcl - Shell PREFERRED QUALIFICATIONS: - Experience designing complex ARM- or RISC-V-based SoC ASICs - Hands-on experience building complex Network-on-Chip (NoC) architectures - Strong knowledge of AXI / AMBA protocols - Familiarity with P4, programmable packet-processing pipelines, or protocol-independent networking architectures - Experience with post-silicon debug, bring-up, and production support - Experience with high-performance interconnect, data movement, and SoC integration - Self-motivated engineer with strong ownership and execution skills - Strong problem-solving ability and willingness to take on new technical challenges - Continuous learner who thrives in a fast-moving environment - Excellent communication and cross-functional collaboration skills ACADEMIC CREDENTIALS: Bachelor’s or Master’s degree in Electrical Engineering , Computer Engineering, or related field LOCATION: Santa Clara, CA LI-RF1 LI-hybrid This role is not eligible for visa sponsorship. Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Enterprise AI Lead Systems Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: As part of the AMD EPYC Server team, we are committed to pushing the boundaries of innovation to build cutting-edge server products that drive the next evolution in the datacenter. Our server platform team is looking for system engineering leaders who are passionate about server technology and eager to contribute to our mission of delivering the best EPYC server products with unparalleled performance, quality and reliability. The role demands technical expertise in silicon validation, spanning the areas of silicon design, architecture, validation, FW and SW development, platform debug and performance. Join us as together we advance data center computing. THE PERSON: As an EPYC Server Lead System Engineer, you are the technical lead responsible for driving program execution and key Post-Si engineering initiatives to meet the product requirements of our EPYC Server CPUs. You will collaborate with a global, cross-functional team spread across hardware (CPU, memory, IO, systems), software (Firmware, BIOS, OS), architecture, and validation. As the program lead you will define the validation strategy, feature enablement plans, manage technical constraints, prioritize resources, and oversee test plan execution to ensure timely, high-quality silicon delivery. Strong communication skills at both technical and executive levels are essential. Be part of shaping the future of the data center through EPYC engineering excellence. KEY RESPONSIBILITIES: - Defines program plans to meet the product requirements within schedule, budget and scope. - Manages platform execution and reports on program deliverables and risks. - Develops detailed validation strategy based on program complexity and feature set. - Oversees end to end feature development process driving alignment with Architecture, FW/SW development, Validation and Customer Engineering teams. - Drives Post-Si test plan development and execution to meet delivery of sample commitments and engineering collateral. - Defines supported platform configurations, associated FW collateral, fuse recipes and debug tools to enable validation execution. - Oversees defect prioritization to identify high impact issues, implement mitigation plans, and drive root cause analysis and resolution. - Manages technical constraints and prioritization of program assets. - Provides leadership, mentorship, and guidance to validation team members, fostering a culture of continuous learning and professional development. PREFERRED EXPERIENCE: - Highly organized with the ability to prioritize and manage multiple tasks and workflows simultaneously. - Strong analytical skills: capable of structuring complex analysis, extracting key insights, drawing actionable conclusions, and effectively communicating recommendations to senior management and stakeholders. - Matrix leadership: able to network, build relationships, and collaborate across functions to drive informed decision-making and alignment with key stakeholders. - Technical leadership: capable of championing new tools, methods, and capabilities to drive platform validation improvements in schedule, quality, or coverage. - Executive communication: proficient in both written and verbal communication, able to provide concise summary of program progress, risks, or status of critical issues. - Experience with HW/SW based test tools, defect tracking and version control systems. - Experience with Computer Architecture concepts and silicon features. - Experience with Linux and Windows Operating Systems, Hypervisors (VMware, KVM, Hyper-V, etc.), and development and certification processes of these environments. ACADEMIC CREDENTIALS: - Bachelor’s Degree (BS) in Electrical Engineering, Computer Engineering, Computer Science or other relevant field - Master’s Degree (MS) preferred This role is not eligible for visa sponsorship. LI-LB1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Sr. Product Manager - AI Infrastructure and Soluti...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE The Senior Product Manager, AI Infrastructure and Solutions owns the system-level product definition, integration readiness, and launch readiness for AMD-based solutions that combine hardware and software into a deployable, supportable offering. This role translates customer and segment needs into clear, testable requirements spanning platform hardware, firmware/drivers, software stack, and ecosystem dependencies (OEM/ODM/ISV/cloud). At the Senior Product Manager, AI Infrastructure and Solutions level, you independently lead complex, cross-functional solution scopes across one major segment (e.g., Hyperscaler AI, Enterprise, or HPC) and/or a horizontal solution domain with minimal supervision, building strong relationships and influence with stakeholders. Success is measured by the quality of system requirements, compatibility/supportability, integration clarity, and GA readiness. This opportunity offers a hybrid work schedule, ideally based in our offices in either Santa Clara, CA or Austin, TX; other locations may be considered, especially near an AMD office for hybrid work compatibility. THE PERSON - You are a strong systems thinker with the ability to connect workload requirements to hardware/software architecture and lifecycle constraints - Technically credible with Engineering and TME; effective with PMM, Sales, Ops, and xBU PMs - You operate well in ambiguity and consistently turn it into structured decisions, documented tradeoffs, and executable plans - A high ownership mindset is your trademark; drive alignment and closure across teams without formal authority - Excellent written and verbal communications for executive audiences; You have a track record of producing high-quality artifacts and communicating risk clearly to leadership - Pragmatic and data-driven, you distinguish between customer requests and product requirements - You demonstrate mature judgment in balancing performance, supportability, schedule, and ecosystem readiness KEY RESPONSIBILITIES - Own system-level product definition (HW + SW) - Author and maintain System Requirements Specifications (SRS) for solutions spanning hardware platform, firmware/driver, software stack, compatibility, manageability, and lifecycle expectations - Define assumptions, constraints, non-goals, and acceptance criteria - Translate customer/segment needs into prioritized requirements - Consolidate and normalize customer, Sales, OEM/ODM partner, and internal stakeholder inputs into a structured, prioritized requirements backlog with decision rationale - Ensure requirements are workload-grounded and aligned to segment outcomes - Lead cross-functional dependency and integration planning - Identify dependencies across silicon/platform, firmware/drivers, ROCm/software stack, frameworks, OEM systems, and cloud images - Surface integration risks early, drive tradeoff discussions, and maintain decision logs - Set performance targets and benchmarking expectations (with TME/Eng) - Define workload-level performance goals and proof requirements - Ensure performance claims are tied to reproducible methodology and validated configurations - Support launch readiness and field enablement - Provide accurate “product truth” to PMM and Sales, including supported configs, limitations, known issues, prerequisites, and proof points - Contribute to launch briefs, release notes, demo/reference configuration alignment, and field FAQs - Run post-launch feedback and escalation triage - Structure field feedback intake and prioritize top issues - Help determine whether a hotfix, point release, or roadmap action is appropriate; feed learnings into sustaining and next-gen requirements - Maintain stakeholder alignment and visibility - Publish regular status, risks, decisions, and asks to Eng, TME, PMM, Ops, Sales/FAE, and xBU PMs - Escalate with clear options and tradeoffs when decisions are needed PREFERRED EXPERIENCE - Senior-level, cross-functional, large enterprise experience in Product Management, Solutions Product Management, Technical Product Management, Systems Engineering, or related roles in: - Data center infrastructure - AI/ML platforms - HPC systems - Enterprise solutions - Integrated hardware + software products - Strong working knowledge of several of the following: - Platform/system architecture (power/thermals, topology, I/O, networking, memory, RAS) - Firmware/driver and software stack dependencies - Benchmarking methodology and reproducibility - Demonstrated experience defining and launching system-level solutions requiring coordination across hardware, firmware, drivers, software frameworks, and partner ecosystems. - Excellent communications, collaboration, and relationship building across functions and organizations, including experience presenting to executives - Experience working well in ambiguity and creating structure and alignment across teams without formal authority, including excellent written and verbal communications for executive audiences ACADEMIC CREDENTIALS - Bachelor degree in Engineering, Computer Science, Computer Engineering, Electrical Engineering, or related technical field strongly desired - MBA or Master’s degree in Engineering, Computer Science or related field preferred - Or an equivalent combination of education and relevant experience LOCATION - Santa Clara, CA and Austin, TX preferred - Other locations may be considered for the right candidate This role is not eligible for visa sponsorship. LI-MP2 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Senior Finance Manager - AI Group
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: This Senior Finance Manager role is a high-visibility position within AMD's Finance organization, and plays a critical role in the support and success of the Artificial Intelligence Group Business Unit. This position serves as the key business partner to the BU leadership team, providing financial leadership, insight, and strategic support to drive performance and achieve business objectives. The role will work cross-functionally with various AMD operations stakeholders, finance counterparts and technical accounting. THE PERSON: We are seeking a strategic, results-oriented leader with a strong bias for action and a proven ability to excel in a fast-paced, dynamic environment. The ideal candidate demonstrates exceptional communication skills and a collaborative mindset, effectively managing multiple priorities. This Individual is expected to provide strong leadership, drive cross-organizational initiatives to optimize R&D investments, lead core financial planning activities, confidently make recommendations and serve as a strong finance partner to Datacenter Engineering leadership. KEY RESPONSIBILITES: - Serve as the Finance Lead for Datacenter business unit program financials - Directly support the business unit Engineering leadership team, deliver data-driven insights, financial guidance, and decision support - Engage/Lead core finance processes including Life of Program planning, Annual Operating Plans, and intra-quarter Outlooks - Collaborate with engineering, program management, procurement and operations to align financial plans with platform roadmaps and execution priorities - Support investment planning, including capacity, cost optimization, and ROI analysis for datacenter platforms - Prepare and disseminate timely and accurate financial information to allow the business to plan, forecast, and make decisions using controlled and consistent data - Drive budgeting, forecasting, and variance analysis; communicate financial performance and risks to senior leadership and corporate finance - Monitor operating expenses and capital-related investments to ensure efficient resource allocation and alignment with strategic priorities - Develop long-range financial planning and scenario analysis to guide strategic decisions - Improve financial transparency by establishing clear metrics, reporting frameworks, and performance tracking for platform initiatives - Ensure strong internal controls and adherence to company financial policies and accounting standards - Partner with Corporate Finance, Accounting, and other BU Finance teams to ensure alignment and consistency in reporting - Identify potential opportunities for process improvement to existing processes and cadence PREFERRED EXPERIENCE: - Self-starter with excellent interpersonal communication, teaming, and problem-solving skills - Progressive experience in Finance, including significant exposure to BU, platform, or P&L Management roles - Experience supporting infrastructure, platform, or engineering-heavy organizations (semiconductor, datacenter or hardware environments preferred) - Strong financial modeling, forecasting, and analytical skills - Exceptional communication, presentation, and interpersonal skills, with the ability to articulate concepts clearly and concisely to diverse audiences. - Self-motivated, intellectually curious, and comfortable with ambiguity, possessing a proactive approach to problem-solving - Proven ability to work effectively in a fast-paced, high-growth, and challenging environment - Robust analytical skills required and the ability to turn complex data and concepts into valuable information to present in a simple/understandable manner - Ability to work in teams and with all levels of an organization as well as work independently - Proficiency in Excel, AI tools, MSFT Co-Pilot, and ERP systems experience (SAP, SAP HANA) ACADEMIC CREDENTIALS: - Bachelor’s degree in Finance, Accounting or equivalent - MBA, CPA or CFA preferred LOCATION: Austin, Texas This role is not eligible for visa sponsorship. LI-GW1 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Datacenter and AI Infrastructure Silicon Performan...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: At AMD, we focus on providing the highest performance computing products to the industry’s leading enterprise and cloud providers. In the AMD Server Performance Group, we build on our depth in microarchitecture knowledge and simulation to analyze and optimize high-performance System-on-a-Chip (SoC) designs for critical areas such as AI/ML, cloud computing, and high-performance computing. We work closely with our partners to ensure that we provide the best performance solutions for their applications and infrastructure computing offerings. We also work closely with the silicon design teams to influence next generation server compute products. Typical roles include performance analysis of the hardware microarchitecture and software stack as well as performance model development. As a senior member of the technical team you’ll be leading projects that are critical to AMD’s server business segment. Candidates seeking the most sophisticated and exciting challenges in the computing industry are encouraged to apply. We are passionate about performance innovation. Check out our opportunity. We have a competitive benefits package and an award-winning culture. Join us! KEY RESPONSIBILITIES: - Responsible for improving Cloud and AI Infrastructure performance through hardware & software co-optimization, post-silicon performance analysis, and influencing the strategic product roadmap. - Collaboration with performance experts from our key partner companies to resolve performance issues and optimize the performance and TCO of their AMD datacenter technologies. - Workload analysis and characterization of AMD and competitive datacenter and AI solutions to identify opportunities for performance improvement in our products. - Drive the development of AI/ML-based infrastructure to automate performance analysis, anomaly detection, and efficiency improvements. - Stay current with trends in CPU architecture, performance modeling, and analysis technologies. - Evaluate and adopt emerging tools and techniques to maintain a competitive edge. PREFERRED EXPERIENCE: - Experience with CPU, GPU, or computer system microarchitecture (ideally familiarity with all three) - Proficiency in principles and methods of microarchitecture, software, and hardware relevant to performance engineering - Proficiency with SoC and system performance analysis fundamentals, tools, and techniques including hardware performance monitors and PERF profiling - Experience with datacenter and AI workload analysis - Experience with multi-core systems and multi-thread interactions - Experience analyzing and optimizing workloads. - Experience in IO subsystem microarchitecture performance modeling and strong background in PCI-E/CXL microarchitecture and protocols ACADEMIC CREDENTIALS: - Bachelor’s, Master’s, or Ph.D. degree in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field preferred - Master’s or Ph.D. with an emphasis on Computer Architecture and Performance Analysis of Server Workloads preferred. LOCATION: Austin, Tx This role is not eligible for visa sponsorship. LI-RL1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
AI Framework Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD is looking for a specialized software engineer who is passionate about improving the performance of key applications and benchmarks . You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology. THE PERSON: The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD. KEY RESPONSIBILITIES: - Develop and drive execution of comprehensive , highly effective software for sophisticated new technology and new product introduction projects - Provide quick and robust technical support for key customer projects - Develop the optimization features and validate before releasing them to customers - Contribute to a high-functioning feature team - C ollaborate closely with multiple teams to deliver key planning solutions and the technology to support them - Help contribute to the design and implementation of future architecture for a highly scalable, durable, and innovative system - Work very closely with dev teams and Project Managers to drive results - Skilled in using AI agent tools to assitant testing and analysis work, improve the efficiency of daily work. PREFERRED EXPERIENCE: - Expert knowledge and hands-on experience in C, C++, python - Expert knowledge and hands-on experiecne in large lanaguage frameworks, including vllm and sglang. Has regular pull requests to ecosystem community. - Familiar with AI operations libraries, like flashInfer, tensorRT-LLM, CUTLASS, Aiter(AMD) etc. Used and customized ops and ops fusion from above libraries. - Familiar with Triton compiler backend, on top of llir/ASM program with explicit layout, pipeline optimization. Has experience with the implementation of CUDA/Triton/Gluon kernels. - Solid understanding of roofline performance analysis ability, on top of profiling tools for optimization analysis, for example Nsight, ROCprofiler, etc. ACADEMIC CREDENTIALS: - Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent LI-FL1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Senior AI Software Architect - Autonomous Systems
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. About the Role We are seeking a highly skilled Senior AI Software Engineer to join our team. The ideal candidate will be responsible for designing and implementing AI-driven software solutions tailored for autonomous systems. This role requires deep expertise in AI frameworks, model analysis and optimization, GPU-accelerated computing, and system performance profiling within high-performance autonomous environments. Key Responsibilities - Select and optimize AI models for autonomous applications, ensuring scalability, low latency, and real-time performance across edge and cloud deployments. - Collaborate with cross-functional teams to ensure seamless integration of AI frameworks into software stacks, optimizing inference pipelines and model performance for real-world use cases. - Provide technical leadership and guidance in AI software best practices, focusing on deep learning frameworks, GPU-accelerated computing, model compression, and efficient deployment strategies for autonomous systems. - Analyze and optimize AI software stack performance, particularly in real-time inference, GPU-accelerated, and autonomous navigation environments, identifying bottlenecks and implementing targeted improvements. - Stay updated with the latest trends and technologies in AI frameworks, foundation models, edge AI deployment and autonomous systems integration, offering insights and recommendations to continuously advance AI capabilities. Preferred Experience - AI Frameworks: Proven experience designing and implementing solutions using leading AI frameworks such as PyTorch, TensorFlow, JAX, or ONNX Runtime , with a focus on autonomous applications. - AI Model Analysis & Optimization : Strong knowledge and hands-on experience with model profiling, benchmarking, quantization, pruning, and distillation techniques to optimize AI models for performance and efficiency. - ROCm, CUDA & GPU Computing: Deep expertise in ROCm or CUDA programming, GPU kernel optimization, and GPU memory management for accelerating AI inference and training workloads. - System Performance Analysis: Expertise in profiling and analyzing end-to-end AI system performance using tools such as NVIDIA Nsight, TensorRT, Triton Inference Server, or similar profiling and optimization platforms. - Autonomous Systems : Experience deploying AI models within software stacks, including integration with ROS/ROS2, real-time systems, and edge AI hardware platforms (NVIDIA Jetson, etc.). - Problem-Solving Skills: Excellent problem-solving skills and attention to detail in debugging complex AI model behavior, performance regressions, and hardware-software interactions. - Collaboration and Communication: Ability to work collaboratively in a cross-functional team environment with strong written and verbal communication skills. ACADEMIC CREDENTIALS: - Bachelor ’ s or Master ’ s in Electrical Engineer, Computer Engineering, Computer Science, or a closely related field Location - Austin, TX - Other locations are considered for exceptional candidates. This role is not eligible for visa sponsorship. LI-BW2 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Fellow, AI Workload Optimization
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. We are looking for a visionary technical leader to join the AI Software group. As a Fellow, you will be accountable for defining and driving the end-to-end software optimization strategy to achieve industry-leading performance for our top-tier customers. You will sit at the intersection of architecture, customer engagement, and software engineering, ensuring that AMD’s software stack—from ROCm and compilers to high-level AI frameworks—is tuned to extract maximum performance for the world's most demanding AI workloads . THE PERSON The ideal candidate is a technical powerhouse with a proven track record of solving complex performance bottlenecks at scale. You possess deep knowledge of AI hardware architecture and software optimization, with the ability to map emerging model architectures to low-level software. You are an exceptional communicator who can translate complex technical challenges into strategic roadmaps and influence senior leadership, while also engaging deeply with key customers to solve their most critical performance needs. KEY RESPONSIBILITIES - Strategic Leadership: Set the technical vision and roadmap for workload optimization across the AI software stack, ensuring AMD remains the platform of choice for top-tier AI customers. - Workload Performance Engineering: Lead the profiling, analysis, and tuning of large-scale models (LLMs, Diffusion, Multimodal, and MoE) to ensure "out-of-the-box" performance excellence on AMD hardware. - Customer Engagement: Partner with top customers and hyperscalers to understand their unique workload requirements and deliver tailored architectural wins and software optimizations. - Hardware-Software Co-design: Collaborate across hardware architecture, compiler, and framework teams to influence future silicon features based on evolving AI workload trends. - Ecosystem Innovation: Drive the development of advanced tools and frameworks for performance estimation, modeling, and automated reporting. - Community & Mentorship: Act as a technical ambassador in industry forums and open-source communities. Mentor and inspire the next generation of AMD’s technical leaders and engineers. PREFERRED EXPERIENCE - Deep software development experience with experience in a high-level technical leadership role (Fellow or equivalent). - Deep expertise in AI Frameworks (PyTorch, JAX, vLLM , SGLang ) and the ROCm software stack. - Proven history of optimizing distributed inference and training at scale across multi-node/multi-GPU environments. - Mastery of performance profiling tools (e.g., TorchProfiler, ROCm Profiler, Nsight) and hardware-level performance modeling. - Strong understanding of modern model architectures (Transformer, Attention, KV Cache) and optimization techniques like quantization, speculative decoding, and FlashAttention. - Demonstrated ability to drive cross-functional initiatives in fast-paced, ambiguous environments. ACADEMIC CREDENTIALS - PhD or Master’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience. - Demonstrated research or applied experience in AI/ML, including areas such as deep learning, model training / inference optimization, large language models, or computer vision. PREFERRED ACADEMIC CREDENTIALS - PhD or Master’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience. - Demonstrated research or applied experience in AI/ML, including areas such as deep learning, model training / inference optimization, large language models, or computer vision. LI-G11 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Staff/Principal Engineer - AI/ML & System-Level Va...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. Principal Member of Technical Staff — ROCm Validation & System-Level Quality About the Role We are seeking a Principal Member of Technical Staff (PMTS) to serve as the senior technical leader for ROCm software validation across compute workloads and server-class systems. In this individual-contributor leadership role, you will define how AMD proves ROCm is ready to ship — from unit and component testing, through full-stack workload validation, to multi-node system-level qualification on AMD Instinct™ GPU platforms. You will set the technical direction for validation strategy, build and evolve the test infrastructure that gates every ROCm release, and personally drive the hardest debugging, characterization, and qualification problems. Your work directly determines the quality bar experienced by hyperscalers, OEMs, sovereign-AI customers, and the open-source community running ROCm in production. What You Will Do - Own the end-to-end validation architecture for ROCm — unit, integration, framework, workload, performance, stress, stability, scale-out, and system-level test layers — across multiple GPU generations and server platforms. - Define release-qualification gates and exit criteria for ROCm software releases (functional coverage, performance regressions, stability hours, scale targets, RAS criteria) and drive the org to meet them. - Lead system-level testing for server nodes — multi-GPU topologies, PCIe/Infinity Fabric/xGMI, BMC/IPMI, thermal/power, firmware interactions, and multi-node fabric (Ethernet/InfiniBand/UALink) bring-up and validation. - Drive compute workload validation and characterization — LLM training and inference (PyTorch, vLLM, Triton, JAX), recommender systems, scientific HPC kernels, MLPerf-class benchmarks — establishing reproducible methodology, baselines, and regression tracking. - Architect the test infrastructure — distributed test runners, GitHub Actions / Jenkins / internal CI fleets, hardware lab orchestration, result data lakes, flaky-test detection, bisection automation, and self-service developer pre-submit pipelines. - Champion modern, agile quality engineering — shift-left testing, test pyramids, contract testing between layers, hermetic test environments, deterministic reproducers, and continuous validation in trunk. - Set the bar for GitHub-based quality workflows — PR gating policy, required checks, code-coverage standards, bug-bash and triage cadences, and disciplined issue management across ROCm/* repositories and partner upstream projects. - Lead complex escalation debug — partner with development, hardware, firmware, and customer-facing teams to root-cause the hardest multi-day, multi-node, multi-component failures and convert findings into durable test coverage. - Influence the roadmap — work with product management, silicon, platform, and software architecture to ensure validation readiness for next-generation Instinct GPUs and server platforms before tape-in milestones and silicon arrival. - Mentor and elevate Senior and Staff validation engineers, SDETs, and SQA leads; raise the technical bar through design review, code review, and written guidance. - Represent ROCm validation externally — strategic customer engagements, OEM qualification programs, and open-source community quality initiatives. Minimum Qualifications - 12+ years of professional software engineering experience with a strong validation, SDET, or quality-engineering focus, including 5+ years in a senior IC role (Staff/Principal/PMTS or equivalent) leading validation of complex systems software. - BS/MS/PhD in Computer Science, Computer Engineering, or related discipline (or equivalent demonstrated experience). - Expert-level Python for test automation and infrastructure; strong C++ for debugging, and extending production code paths under test. - Deep, demonstrable validation experience in at least two of the following domains: - GPU compute software stacks (ROCm, CUDA, oneAPI, SYCL) - Deep-learning frameworks and inference engines (PyTorch, TensorFlow, JAX, Triton, vLLM) - HPC / parallel runtimes and communication libraries (MPI, RCCL/NCCL, UCX, Libfabric) - Linux kernel, GPU drivers, or accelerator firmware - Distributed systems and large-scale cluster software - System-level validation for server-class compute nodes — multi-GPU, multi-node, fabric-attached environments — including stress/stability, soak, fault-injection, and RAS testing. - Proven, hands-on experience working efficiently in an agentic AI engineering environment — daily, production use of LLM-based coding agents (e.g., Cursor, Claude Code, Copilot Workspace, Codex-class agents) and orchestration frameworks for real engineering work, with demonstrable productivity, quality, or coverage gains attributable to those workflows. Comfort designing prompts, tool/MCP integrations, evaluation harnesses, and guardrails for autonomous and semi-autonomous agents. - Hands-on experience defining and shipping release qualification programs for software consumed by hyperscalers, OEMs, or other Tier-1 customers. - Mastery of GitHub at scale for quality engineering — PR gating, GitHub Actions, self-hosted runners, required status checks, release tagging, and open-source contribution and triage norms. - Strong command of modern, agile software development practices — trunk-based development, CI/CD, shift-left testing, observability, feature flags, and incremental delivery — applied specifically to validation organizations. - Excellent written and verbal communication — able to author crisp test plans, qualification reports, RFCs, and post-mortems, and to influence development teams without authority. Preferred Qualifications - Direct contributions to validation, CI, or test infrastructure for ROCm , PyTorch , LLVM , Triton , vLLM , or comparable upstream open-source projects. - Demonstrated leadership in agentic-AI adoption — built or rolled out agent-based workflows across an engineering team (e.g., autonomous test generation, AI-driven log/triage pipelines, multi-agent debug systems, MCP server design, retrieval-augmented engineering knowledge bases) with measurable outcomes. - Experience operating or validating large GPU clusters (256+ GPUs) — fabric bring-up, cluster health monitoring, and fleet-level diagnostics. - Familiarity with Training/Inference/HPC industry-standard benchmark methodologies and submissions. - Background in performance validation: roofline analysis, profiler tooling (rocprof, Omniperf, Nsight-class), regression detection - Experience with fault injection, RAS, telemetry , and long-haul stability programs for accelerator platforms. - Familiarity with hardware lab automation: BMC/IPMI/Redfish, PDU control, serial-console capture, automated re-imaging, and topology-aware test scheduling. - Prior experience standing up validation for pre-silicon / emulation / first-silicon bring-up of accelerators. Why This Role ROCm powers AI and HPC workloads on AMD Instinct GPUs at the largest scale in the industry. The quality of every ROCm release is felt across millions of GPUs in production — and the validation organization is what stands between "code complete" and "customer ready." As Principal MTS for ROCm Validation, you will define that bar, build the systems that enforce it, and personally lead the toughest qualification problems on AMD's most strategic platforms. AMD is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. LI-NR1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Manager- AI Transformation, CPU Diagnostics and Va...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. Manager, CPU Diagnostics, Validation and AI Transformation THE ROLE: You will lead the Bangalore CPU Diagnostics team within a globally distributed organization spanning Austin, Bangalore, and Singapore. This role is accountable for execution excellence across post-silicon validation content, SLT manufacturing stress content, CReST pattern development for wafer sort and final test, and RMA debug and reproduction support. You will own planning, delivery governance, and cross-site alignment with Austin leadership to deliver quality, predictability, and measurable business impact. In addition, you will be expected to embed AI thinking into the organization’s operating model—identifying high-value use cases, scaling practical AI solutions across diagnostics and validation workflows, and ensuring the team uses AI to accelerate engineering productivity, improve debug efficiency, strengthen data-driven decision making, and raise the quality of technical execution and reporting. This leader will participate and motivate the team in the definition and deployment of an AI-enabled diagnostics strategy by combining domain expertise with modern automation, analytics, and AI techniques to improve cycle time, increase coverage, enhance failure analysis, and enable scalable knowledge capture across the team. THE PERSON: You are a strong technical leader with deep CPU validation and diagnostics expertise and a proven track record of people leadership. You are structured, delivery-oriented, and effective at balancing urgent debug demands with long-range content roadmaps. You know how to coach engineers, establish disciplined operating rhythms, and influence cross-functional teams across geographies. You bring systems-level thinking, data-driven decision making, and clear executive communication. You also bring an AI-forward mindset: you can translate emerging AI capabilities into practical engineering value, champion responsible experimentation, prioritize scalable use cases, and build team expectations around adopting AI to improve productivity, insight generation, and execution quality. KEY RESPONSIBILITIES: - Lead and grow the Bangalore team, including hiring, onboarding, goal setting, coaching, and performance management, while setting clear expectations for AI fluency and AI-assisted execution across the organization. - Own weekly and quarterly execution plans across key Bangalore deliverables, including: - Post-silicon validation content development, with a focus on improving coverage, efficiency, and reuse through automation and AI-assisted workflows where appropriate. - SLT stress content for manufacturing readiness and quality, including opportunities to apply data analytics and AI-driven insights to improve coverage and issue detection. - CReST patterns for wafer sort (WS) and final test (FT), with emphasis on scalable methodologies, pattern quality, and data-informed optimization. - RMA debug, failure reproduction, and root-cause acceleration, leveraging AI and data-driven techniques to improve triage speed, failure signature analysis, and insight generation. - Establish rigorous tracking for milestones, dependencies, risks, and recovery plans; provide clear status, escalations, and decision support to Austin leadership using data-rich and AI-assisted reporting where it improves clarity and speed. - Partner with Austin and Singapore technical leads to prioritize work, balance resources, and maintain common quality standards, methodologies, and AI adoption practices across sites. - Improve engineering productivity through process standardization, reusable frameworks, intelligent automation, and measurable reductions in cycle time and execution overhead. - Define and drive the team’s AI strategy within diagnostics and validation flows, including identification, prioritization, piloting, and scaling of high-value use cases such as anomaly detection, failure signature clustering, pattern optimization, automated insight generation, and knowledge capture. - Ensure technical rigor through review mechanisms, content quality gates, model and workflow validation where applicable, and postmortem-driven continuous improvement. - Represent Bangalore execution in global reviews and communicate concise updates on progress, risks, dependencies, support required from senior stakeholders, and measurable impact from AI-enabled improvements. PREFERRED EXPERIENCE: - 10+ years in CPU or semiconductor post-silicon validation, diagnostics, test, or product engineering. - 3+ years of direct people management experience in high-performance engineering teams. - Demonstrated ownership of complex, cross-functional delivery programs with global stakeholders, measurable outcomes, and a track record of driving operational improvements through automation or AI-enabled approaches. - Strong understanding of manufacturing test ecosystem, including SLT, WS, FT, and quality/reliability considerations. - Experience in debug and failure analysis workflows, including RMA reproduction and data-driven root-cause investigation. - Strong working knowledge of AI/ML techniques, data analytics, and modern engineering tooling (for example Python-based analytics, model prototyping, workflow automation, and data pipelines), with evidence of translating these capabilities into practical engineering deployment and measurable business value. - Excellent written and verbal communication skills, including leadership reporting, executive-level updates, and the ability to articulate AI opportunities, tradeoffs, risks, and outcomes to technical and non-technical stakeholders. ACADEMIC CREDENTIALS: - Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field preferred. LOCATION: - Bangalore, India LI-AB1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Fellow, AI Performance Software Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE GROUP: AI is defining the next era of computing, and this is just the beginning. We see the benefits of AI every day—enabling medical research, curbing credit card fraud, reducing congestion in cities, or simply making life easier. In the ever-evolving landscape of artificial intelligence, we are a powerhouse – a cutting-edge 'AI Software Solutions Team'. Specialized in AI optimization, fine-tuning large language models to unlock unprecedented Generative AI efficiency. Our expertise extends beyond the hardware realm, encrompassing 3P enablement, where we develop custom AI Software Solutions for Industry leading AI customers. Are you excited to work with one of Top 1% of the AI companies in the world? THE ROLE: Would you like to be part of a world class team enabling software for world class datacenters and the mightiest supercomputers? AMD is searching for talented and highly motivated AI Software Engineers to join our team of developers pushing the boundaries of efficiency and performance to enable and optimize the software ecosystem for the next generation of GPU computational accelerators. Our team has an unparalleled perspective of the AI landscape. We work with the industry’s most sophisticated clients to help them leverage the latest hardware capabilities for their AI use cases. As part of our team, you will be among the first in the world to combine the newest hardware with the industry’s latest applications, libraries, frameworks, and SDKs to push the limits of innovation and solve the world’s most complex challenges. THE PERSON: We are looking for a highly motivated and skilled AI Software Engineer to join our team. You will work with a team of Software Engineers to enable DL models, libraries, and applications for Instinct GPUs in both on-prem and Cloud environments. Candidates should be strong in Python and/or C++. Candidates should also have experience analyzing and optimizing the performance of AI software and understand hardware bottlenecks and harness performance to hit close to roofline. Must be self-motivated and possess the ability to work well within a team environment. KEY QUALIFICATIONS: - Strong programming skills in C++ and Python - "strong development experience is at least one major DL framework in inference, fine tuning and/or training " - MS with years of related experience or PhD with years of related experience in Computer Science or Computer Engineering or related equivalent. - Experience developing software and system-level performance optimizations with a solid architecture understanding in GPUs a plus - Experience with open-source software development including collaboration with community maintainers and submitting contributions is a plus - Publications in reputed peer-reviewed ML conferences/journals a plus - Excellent analytical and problem-solving skills root-causing/addressing performance issues. - Ability to work independently and as part of a team. - Willingness to learn skills, tools, and methods to advance the quality, consistency, and timeliness of AMD software products. PREFERRED EXPERIENCE: - Expertise in profiling tools across the AI SW Stack (Torchprofiler, RocM profiler, Vtune, Nsight) - Experience in implementing and optimizing parallel methods on GPU accelerators (NCCL/RCCL, OpenMP, MPI) - Performance analysis skills for both CPU and GPU - Experience with Singularity, Docker, and/or Kubernetes. - Experience providing clear and timely communication related to status and other key aspects of the project to leadership team. LI-RL1 This role is not eligible for visa sponsorship. Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Technical Program Manager - Server Customer Engine...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are seeking an experienced Technical Program Manager – Server Customer Engineering (Enterprise AI Product Line) to join the Server Platform Solutions Engineering / Server Customer Engineering PMO to lead end-to-end delivery, focused on the Enterprise AI product line. You will manage programs from development through End‑of‑Life, coordinating cross‑functional teams across hardware, firmware, software, validation, and partners to deliver production‑ready AI solutions at scale. THE PERSON: You will be the primary AMD contact for Enterprise AI programs supporting enterprise customers—ensuring alignment between customer goals and AMD roadmaps, driving release readiness, and protecting production stability for critical datacenter deployments. KEY RESPONSIBILITIES: Customer Ownership - Serve as primary support contact for Enterprise AI programs supporting Enterprise customers (development and sustaining); build and maintain sponsor and program lead relationships. - Understand customer business goals and AI workload requirements; align customer needs with AMD priorities. - Advocate for customer satisfaction; manage requirements, critical issues, and escalations. Program & Project Management - Own end‑to‑end program delivery: define schedules, milestones, success criteria, resources, and deliverables. - Coordinate cross‑functional teams (engineering, firmware, validation, QA, product, field ops, partners/OEMs) to drive decisions and resolve blockers. - Identify risks and technology dependencies; create mitigation and contingency plans and proactively escalate when needed. - Drive release readiness: validation plans, customer previews, deployment playbooks, and handoffs to field engineering/customer success. - Produce concise executive updates, program briefs, and status reports. Process & Continuous Improvement - Implement scalable program processes, tooling, and lessons learned to improve delivery speed and quality. - Contribute to executive briefs and participate in customer engagements and technical enablement. PREFERRED EXPERIENCE: - Extensive Technical Program or Product Management experience leading complex, cross‑functional technical programs; experience with server platforms, firmware, validation, or enterprise software. - Strong technical fluency in server systems (hardware, BIOS/firmware/microcode, validation/test processes) and understanding of AI workload characteristics. - Proven ability to manage schedules, risk, requirement tracking, escalations, and stakeholder communications. - Excellent written and verbal communication; comfortable presenting to senior leadership and customers. - Demonstrated customer focus and ability to drive decisions in ambiguous, fast‑moving environments. - Proficiency with program tools (JIRA, MS Project, Teams, Power BI); familiarity with Python a plus. - Professional experience in semiconductor/server architecture, datacenter/server development lifecycle, or related engineering roles (validation, BIOS, hardware design, cloud SW). - Track record of managing cross‑regional teams and delivering quality products at scale. - Strong analytical, organizational, and interpersonal skills; ability to build consensus across technical and non‑technical stakeholders. ACADEMIC CREDENTIALS: Bachelor’s degree in engineering, computer science, or equivalent; advanced degree preferred. Location: Austin, TX Santa Clara, CA This role is not eligible for visa sponsorship. LI-LM1 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Senior Manager, AI Solutions Business Development
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: The Enterprise AI Business Development Senior Manager will play a key role within the Data Center GPU Business Unit by driving AMD GPU adoption within key enterprise AI segments both for on-premise and cloud deployments. This role requires a technical-commercial hybrid who can engage deeply with customers on AI hardware and software solution architectures, understand their computational requirements, and position AMD Instinct platforms as the optimal solution across enterprise verticals including financial services, manufacturing, energy (oil & gas), and systems integrators. THE PERSON: You will be a technical sales or solutions-oriented professional who combines deep understanding of AI hardware platforms and enterprise software stacks with the ability to articulate complex technical solutions to both engineers and senior business leaders. - Technical depth: Strong understanding of datacenter GPU architecture, AI hardware platforms (GPU servers, HPC systems), and enterprise AI software stacks. Ability to architect and position full AI HW+SW solutions for customer workloads. - Industry background: Experience from systems companies, OEMs, system integrators (SIs), or HW-focused enterprises. Candidates from pure software firms without hardware exposure are less suited. Ideally has pitched AI/HW-based solutions to enterprise customers in verticals such as financial services, manufacturing, energy, or technology. - Business skills: Marketing and presentation, written and oral communication, commercial negotiation, cross-functional and people leadership skills - Solution orientation: A credible technical resource who can work across AMD functions — sales, marketing, product management, AI software optimization, and silicon architecture — to successfully drive Instinct market share. KEY RESPONSIBILITIES: - Develop deep understanding of target enterprise verticals (e.g., financial services, manufacturing, energy, systems integrators) and tailor AMD AI HW+SW solutions to their computational and business requirements - Assess customer hardware and software requirements, configurations, and applications, and architect solutions accordingly - Build partnerships with OEM, ODM, CSP, and SI customer acquisition and GTM teams to drive sell-through - Develop and deliver technical training materials, demand-generation content, and coordinate proof-of-concept (POC) engagements PREFERRED EXPERIENCE: - Strong experience in the computing/AI industry, ideally from systems companies, OEMs, system integrators (SIs), or HW-focused firms selling HW-based AI solutions. Pure software backgrounds without hardware exposure are less suitable. - Technical sales, sales engineering, or solutions architecture background with experience pitching AI/HW solutions to enterprise customers - Domain expertise in one or more enterprise verticals (e.g., financial services, manufacturing, energy/oil & gas, systems integrators) is highly valued - Experience selling and marketing AI hardware platforms, GPU-accelerated solutions, and/or AI instances and services - Substantial experience in a customer-facing role across multiple functions within a large organization. Experience with Fortune 500 level enterprises is a plus - Knowledge of AI workloads and Enterprise SW stack - Understanding of datacenter, MDC, and channel business models - Existing network within the enterprise AI and/or HW ecosystem in Korea/Asia - Ability to multi-task and handle multiple simultaneous projects ACADEMIC CREDENTIALS: - BS, or higher, in Engineering (Computer or Electrical) - MBA a plus LOCATION: Seoul, Korea LI-CC6 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
AI Infrastructure Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE PERSON: We are seeking a DevOps / Platform Engineer to join our team building and operating large-scale GPU compute infrastructure that powers AI and ML workloads. The ideal candidate should be passionate about software engineering and possess leadership skills to independently deliver on multi-quarter projects. They should be able to caommunicate effectively and work optimally with their peers within our larger organization. Finally, you aren't afraid of a team in more of a startup mode at a larger company and willing to jump in to help in areas adjacent to your main project as needed. Key Responsibilities - Build and extend platform capabilities to enable new classes of workloads (e.g., interactive development pods, CI pipelines, inference services, benchmarking jobs). - Design and operate scalable orchestration systems using Kubernetes across both on-prem and multi-cloud environments. - Develop platform features such as secret management, configuration management, and deployment automation for customers. - Partner with development teams to extend the GPU developer platform with features, APIs, templates, and self-service workflows that streamline job orchestration and environment management. - Manage service lifecycle within Kubernetes using Helm and GitOps workflows (e.g., ArgoCD or Flux). - Apply expertise in storage and networking to design and integrate CSI drivers, persistent volumes, and network policies that enable high-performance GPU workloads. Required Qualifications - Experience in DevOps, Platform, or Infrastructure Engineering. - Deep hands-on experience with Kubernetes and container orchestration at scale. - Proven ability to design and deliver platform features that serve internal customers or developer teams - Experience building developer-facing platforms or internal developer portals (e.g.custom workflow tooling). Nice to Have - Hands-on experience in storage or network engineering within Kubernetes environments (e.g., CSI drivers, dynamic provisioning, CNI plugins, or network policy). - Experience with Infrastructure as Code tools like Terraform. - Background in HPC, Slurm , or GPU-based compute systems for ML/AI workloads. - Practical experience with monitoring and observability tools (Prometheus, Grafana, Loki, etc.). - Understanding of machine learning frameworks (PyTorch, vLLM, SGLang, etc.). LI-G11 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
AI /HPC Data Center Lab Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE TEAM: AMD's Data Center Platform Engineering Group (DPEG) organization is transforming the industry with our AI based Graphic Processors. Our primary objective is to design exceptional products that drive the evolution of computing experiences, serving as the cornerstone for enterprise Data Centers, (AI) Artificial Intelligence, HPC and Embedded systems. If this resonates with you, come and joining our Data Center GPU organization where we are building amazing AI powered products with amazing people. THE ROLE: The Data Center Platform Engineering Group (DPEG) organization is looking for skilled individuals that can contribute to the bring-up, support and debug of complex system / SOC problems. Individuals will be part of a growing lab team and required to do hands on experiments related to issue management as well board level reworks. The position involves a wide range of activities including deploying pre-production platforms and test stations to enable silicon bring-up and validation, contributing to the triage, debug and rework required to resolve complicated system level issues. THE PERSON: The ideal candidate be a team player with strong communication skills and able to work in a dynamic environment. Must be a self-starter capable of working with minimal supervision and driving tasks to completion. KEY RESPONSIBILITIES: - Setup hardware to facilitate remote/local test execution and user defined workloads in the DPEG validation lab - Own initial troubleshooting and debug of a wide variety of system, firmware, or software issues encountered while maintaining the integrity of a large number of development systems. - Reproduce issues and validate fixes identified by DCGPU platform leads and chief engineers. - Provide logs and statistics that will help in further debug of issues. - Integrate automated testing in CI/CD environment (e.g. Jenkins, Ansible) - Work within a managed ticketing system and communicate clearly on steps/activities REQUIRED EXPERIENCE: - Proven test bench setup experience with expertise in embedded systems - Able to read and interpret board schematics - Software Programming and scripting experience (Python, bash, C/C++) in Windows and Linux operating systems. - PC/server environment H/W and S/W setup and administration. - Basic networking skills - Comfortable working in different operating system environment including Windows and Linux - Excellent soldering skills - Experience with HW and SW fault detection and management - Experience with power supplies monitoring and sequencing - Proficient in the fundamentals of power electronics with special emphasis on multiphase power converters - Demonstrated ability to work with oscilloscopes, multi-meters, current probes, electronic loads, and protocol analyzers as well as adept at intuitive reasoning to explain and correct unexpected results - Proficient at documenting experimental results in a structured manner for ease of reference - Knowledge of computer hardware (CPU/APU, graphic cards, memory, bus logic, and display technologies) and software architecture (driver/bios) - Ability to set up hardware and build computer systems - Logic based decision making on triage/debug - Test automation expertise using Perl/Tcl/Python/LabView - Bonus skills: Familiarity with the low-speed industry standard protocols such as I2C, Redfish, IPMI, SPI, I3C, SVI2, SVI3 and for the high-speed industry standard protocols such as PCIe Gen 5. ACADEMIC CREDENTIALS: - Bachelor's Degree in Electrical or Computer Engineering Preferred LOCATION: Austin, TX Shift: Monday - Friday from 3:00pm - 12:00am This role is not eligible for visa sponsorship. LI-TL1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
GPU AI Compute Architecture Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD is looking for an influential engineer working on software and hardware co-design. You will be a founding member of a core team of incredibly talented industry specialists and will define the future of hardware and software AI compute solutions. THE PERSON: Ideal candidates should possess a "Just-Do-It" mindset and strong motivation. They must be driven to understand the status quo and explore better solutions using first principles of thinking. Experience is highly preferred in end-to-end development of startup/GPU AI hardware, including programming models, GPU microarchitectures, tapeout, and bring-up. KEY RESPONSIBILITIES: - Collaborate with AMD architecture engineers on GPU software and hardware design decisions. - Co-optimize AI workloads on current and next generation GPUs. - Contribute to client projects and open-source AI frameworks, driving features and adoption. - Design and develop new technologies for future compute platforms. - Participate in new hardware bring-up and validation. - Build strong technical relationships with peers and partners. PREFERRED EXPERIENCE: - Deep AI infrastructure experience with open-source frameworks (e.g., SGLang, vLLM). - Strong kernel optimization skills using DSLs and HIP (or CUDA), plus PTX/SASS equivalents. - Hands-on knowledge of modern GPU architecture. - Demonstrated open-source contributions on GitHub. - Motivational leadership and excellent interpersonal skills. ACADEMIC CREDENTIALS - Bachelor's, Master's, or Ph.D. in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field. LI-EV1 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
AI Scale-up Switch System Design Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are looking for a hands-on, technically sharp system design engineer to join our growing team and lead the bring-up of cutting-edge scale-up switches at the heart of next-generation AI rack infrastructure. As a key contributor, you will bring deep expertise in high-speed Ethernet, server management, and platform validation to drive switch platforms from initial power-on through full system qualification. In this role, you will take full ownership of bring-up execution, apply your debugging skills to solve complex multi-layer problems, and collaborate closely with hardware, firmware, and software teams to deliver production-ready systems. THE PERSON: You're a highly motivated team player with a strong development background, problem solving mentality, excellent communication skills, ability to prioritize tasks along with willingness to learn and adapt. Excellent teamwork skills and capable of working independently. KEY RESPONSIBILITIES - Lead the system bring-up and validation of state-of-the-art AI scale-up switches purpose-built for high-density GPU compute racks, from initial power-on through full system validation - Perform high-speed SerDes and link bring-up, including configuring and validating Auto-Negotiation/Link Training (AN/LT), tuning TX equalization, and characterizing signal integrity across 200G/400G/800G interfaces - Execute comprehensive link qualification testing using PRBS (Pseudo-Random Binary Sequence), Snake Traffic loopback testing, and FEC (Forward Error Correction) analysis to validate BER performance at scale - Utilize LinkCAT and Broadcom SDK tools to characterize port performance, diagnose link failures, and validate PHY configurations across large port counts - Integrate and validate server management infrastructure including BMC/IPMI, Redfish API, and out-of-band management workflows for automated bring-up and health monitoring - Develop and maintain bring-up scripts and test automation (Python) to accelerate validation coverage across chassis configurations - Debug complex system-level failures spanning hardware, firmware, and software including signal integrity issues, firmware crashes, and management plane anomalies and drive issues to root cause - Collaborate with hardware, firmware, and software teams to reproduce failures, document findings, and verify fixes across platform revisions - Maintain detailed bring-up documentation, test reports, and issue tracking throughout the product development lifecycle PREFERRED EXPERIENCE - Extensive hands-on experience in hardware bring-up, platform validation, or high-speed networking silicon characterization - Experience with high-speed switch ASICs (Broadcom TH6/Tomahawk series preferred) and familiarity with Broadcom's SDK/DAPI frameworks - Deep understanding of high-speed Ethernet standards (400GbE, 800GbE) including AN/LT (IEEE 802.3), RS-FEC / KP4-FEC, and PAM4 SerDes technology - Hands-on experience with PRBS testing, BER measurement, eye diagram analysis, and Snake/loopback traffic validation methodologies - Familiarity with LinkCAT or equivalent PHY/link characterization tools - Experience with server management protocols: IPMI, Redfish/OpenBMC, KCS, IPMB, and PLDM for out-of-band control and telemetry - Proficiency in Python for test automation, log parsing, and data analysis - Strong debugging skills — comfortable working across hardware (oscilloscope, protocol analyzer), firmware logs, and software traces to isolate root cause - Experience reading schematics and PCB layout to correlate signal integrity observations with hardware design - Excellent communication skills with the ability to document findings clearly and collaborate across multidisciplinary teams - Experience with high-density switch/router platforms or AI/ML fabric infrastructure is a strong plus ACADEMIC CREDENTIALS: - Bachelor’s/Master’s degree in Computer Science or related field strongly preferred This role is not eligible for visa sponsorship. LI-SC3 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Lead Board Hardware Debug Engineer – Datacenter &...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are seeking a Senior Board Hardware Debug Engineer to join our Datacenter & AI Board Validation team. In this role you will: - Own complex board-level debug for high-performance Datacenter GPU platforms - Drive hardware validation from prototype bring-up through production - Analyze and optimize board signaling and system-level design for next-generation GPU-based solutions - Work at the intersection of cutting-edge GPU solutions, CPUs, memory, networking, and power delivery - Lead system-level integration and debug across multi-board, multi-GPU datacenter platforms You will be a key technical leader ensuring our boards and systems meet performance, reliability, and quality targets in demanding Datacenter and AI environments. THE PERSON: We are looking for someone who is: - Hands-on : Comfortable in the lab with scopes, analyzers, probes, and soldering tools - Deeply passionate about DEBUG and testing: Enjoys chasing down elusive failures and intermittent issues - Strong in PCB-level signal integrity: Understands high-speed serial links, impedance, terminations, and layout tradeoffs - A problem solver: Able to isolate issues systematically across silicon, firmware, board, and system domains - Creative and resourceful: Able to design experiments, work around incomplete specs, and find data-driven solutions You thrive in ambiguity, enjoy complex technical challenges, and take pride in owning issues to closure. KEY RESPONSIBILITIES: - Lead board- and system-level DEBUG of Datacenter GPU platforms (bring-up, stability, performance, interoperability) - Develop and execute functional test plans for new boards and system configurations - Perform and guide Board Signal Integrity validation: eye diagrams, jitter analysis, margins, channel characterization - Lead technical validation efforts across teams, driving validation priorities and test coverage for critical features - Champion root-cause analysis and cross-functional debug across silicon design, firmware, BIOS, board design, and manufacturing - Collaborate closely with hardware design, layout, SI/PI, firmware, BIOS, and system engineering teams to resolve issues - Provide design-for-test and design-for-debug feedback for future board and system designs - Document debug findings, create reproducible test cases, and drive corrective actions into design and process - Support factory, customer, and field escalations requiring deep hardware debug expertise PREFERRED EXPERIENCE: - Proven experience in Datacenter board design and/or Board Validation for server, accelerator, or networking products - Strong background in system-level hardware validation (bring-up, qualification, reliability, and margin verification) - Hands-on debug methodologies: fault isolation, boundary scan, probing, rework, A/B comparison. - Solid understanding of signal integrity concepts and tools (e.g., high-speed SerDes, DDR, PCIE channel analysis) - Working knowledge of computer and I/O protocols, such as PCIe, CXL, DDRx, NVLink, Ethernet, I2C/SMBus, SPI, etc. - Strong grasp of system architecture: CPU/GPU/memory hierarchy, power sequencing, reset schemes, clocking architectures - Comfortable with lab equipment: high-speed oscilloscopes, logic analyzers, protocol analyzers, BERTs, VNAs/TDRs - Willing and comfortable traveling to support engineering builds, factory ramps, and key debug events (domestic and international, as needed) - Self-directed and self-motivated: able to drive tasks with minimal supervision and manage multiple debug threads in parallel ACADEMIC CREDENTIALS: Bachelor’s or Master’s in Electrical Engineering or related field. LOCATION: Markham, Ontario, Canada LI-SC3 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Senior Physical AI Computer Vision Engineer - Perc...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE TEAM Our Physical AI team is building the intelligent software that enables machines to perceive, understand, and interact with the physical world. By combining embedded computing, real-time software, computer vision, AI, adaptive SoCs, and high-performance edge platforms, we develop next-generation solutions powering robotics, industrial automation, autonomous systems, machine vision, automotive, and emerging AI-driven applications. Working at the intersection of AI, embedded systems, and heterogeneous computing, our team transforms AMD technologies into intelligent, real-world solutions that accelerate the future of Physical AI. THE ROLE We are seeking a Senior Physical AI Software Engineer to develop next-generation software for intelligent edge systems that combine embedded computing, real-time processing, computer vision, and AI. In this role, you will design, develop, and optimize software that enables machines to perceive, analyze, and respond to their environments with deterministic, low-latency performance. You will build software spanning embedded Linux and RTOS platforms while integrating AI inference, computer vision, sensor processing, and real-time control across AMD's embedded computing portfolio. Working closely with software, AI, FPGA, silicon, and systems engineers, you will help deliver scalable Physical AI solutions for robotics, industrial automation, automotive, machine vision, aerospace, and other intelligent edge applications. This position provides an opportunity to work across the complete software stack—from low-level platform software through AI-enabled applications—leveraging heterogeneous computing architectures including CPUs, GPUs, FPGAs, and dedicated AI accelerators. THE PERSON You are passionate about building software that bridges embedded systems, AI, and real-world intelligent machines. You thrive solving complex engineering challenges involving real-time processing, perception, and system optimization. You enjoy working across multidisciplinary teams and are comfortable developing software that spans embedded Linux, RTOS, computer vision, AI inference, and heterogeneous computing architectures. You are driven by performance, scalability, and delivering robust software that powers next-generation intelligent systems. KEY RESPONSIBILITIES: - Design, develop, and maintain embedded software for AI-enabled edge computing platforms. - Develop software for Linux and Real-Time Operating Systems (RTOS) supporting deterministic, low-latency execution. - Design and implement real-time software for perception, sensor processing, control, and autonomous decision-making. - Develop and integrate computer vision, image processing, and AI inference applications for real-world deployment. - Build and optimize high-performance image, video, and sensor processing pipelines. - Optimize software across heterogeneous computing architectures including CPUs, GPUs, FPGAs, and AI accelerators. - Collaborate with AI, FPGA, hardware, systems, and platform teams to deliver integrated Physical AI solutions. - Support platform bring-up, debugging, validation, and system integration. - Analyze and optimize latency, throughput, memory utilization, power efficiency, and overall system performance. - Contribute to software architecture, technical documentation, coding standards, and engineering best practices. - Develop demonstrations, reference applications, and customer enablement solutions showcasing AMD embedded technologies. PREFERRED EXPERIENCE: - Experience with AMD Vitis AI or equivalent AI deployment frameworks. - Experience with AMD Versal AI Edge, Zynq UltraScale+, Kria, or other adaptive computing platforms. - Understanding of FPGA acceleration and hardware/software co-design methodologies. - Experience developing AI applications using ONNX, PyTorch, TensorFlow, or similar frameworks. - Familiarity with quantization, model optimization, pruning, and edge deployment techniques. - Experience with ROS 2 and robotics software architectures. - Understanding of perception systems including camera, radar, lidar, and sensor fusion pipelines. - Experience with graphics, visualization, or accelerated rendering technologies. - Familiarity with OpenGL, Vulkan, Wayland, or embedded graphics frameworks. - Experience with Linux kernel, device drivers, or low-level platform software development. - Experience with distributed AI, edge-to-cloud architectures, or heterogeneous computing systems. - Experience with robotics, automotive, aerospace, industrial automation, or other intelligent edge domains. LOCATION: San Jose, CA Novi, MI Austin, TX This role is not eligible for visa sponsorship. LI-BW2 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
AI Customer Engineering Customer Co‑Validation Lea...
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE AMD is seeking a highly skilled Customer Co ‑ Validation Lead (SMTS) to drive customer ‑ facing validation strategy, strengthen customer intimacy, and co ‑ develop end ‑ to ‑ end system validation alongside our top hyperscale, enterprise, and MDC partners. This role directly influences how AMD Instinct™ GPU platforms are validated , integrated, and deployed in real customer environments—ensuring customer success while bringing critical insights back into AMD’s engineering, product, and platform teams. You will own co ‑ validation engagements with customers, oversee system ‑ level debug and readiness assessment, and drive bi ‑ directional value creation through aligned validation plans, shared workflows, and tight coordination across AMD and customer engineering organizations. THE PERSON The ideal candidate blends deep technical expertise , strong customer engagement skills, and leadership presence. You thrive in ambiguous multi ‑ stakeholder environments, can translate customer operations into AMD engineering requirements, and serve as both a trusted customer advisor and an internal advocate. You are passionate about creating a frictionless customer experience, solving complex system ‑ integration challenges, and elevating AMD’s reputation as a collaborative, dependable partner. KEY RESPONSIBILITIES - Lead Customer Co ‑ Validation Strategy, execution, engagements involving AI performance and GPU software stack issues and develop joint validation plans. - Own the technical relationship for system ‑ level co ‑ validation with strategic customers. - Drive execution of co ‑ validation cycles across single ‑ node , multi ‑ node , rack ‑ scale , and clusters systems. - Ensure AMD and customer test coverage is complementary, efficient, and aligned to shared deployment goals. - Lead cross ‑ domain debug spanning GPU, CPU, NIC, BMC/AMC, firmware, ROCm , OS, virtualization, orchestration, libraries, drivers, AI software stack and customer automation frameworks. - Reproduce, root ‑ cause , and validate issues found during co ‑ validation , guiding engineering teams toward fixes. - Translate co ‑ validation learnings into improvements for AMD tools, SVM (System Validation Manual), test content, and platform collateral. - Provide structured customer ‑ facing readiness signals and guidance to support deployment decisions. - Generate co ‑ validation artifacts: test reports, risk assessments, gap analysis, and proposed enhancements. - Work closely with cross functional engineering teams to ensure coherence between AMD deliverables and customer needs. - Provide guidance to junior engineers engaged in customer validation. - Represent AMD with professionalism in high ‑ pressure customer scenarios. - Use AI tools to improve productivity in day ‑ to ‑ day tasks, such as data analysis, test automation, and documentation. PREFERRED EXPERIENCE - Deep experience with Linux, OS/kernel/driver stacks, ROCm or CUDA ‑ like environments, and GPU/CPU/NIC integration. - Strong background in multi ‑ node / rack ‑ scale validation, orchestration, virtualization (KVM, VMware, Hyper ‑ V ), and manageability (Redfish/BMC/AMC). - Skilled in system ‑ level debug across firmware, software, hardware, and automation layers. - Expertise in test plan architecture, debug methodologies, and multi-domain system validation. - Comfortable leading technical discussions with senior customer engineers and decision ‑ - Proficiency with Python or similar scripting for automation. - Exceptional communication skills, both technical and customer ‑ - Experience with customer co-validation, data center cluster deployment or AI performance tuning is a strong plus. - Familiarity with AI concepts, frameworks, or applications. ACADEMIC CREDENTIALS: - Bachelor’s or Master’s in Computer Engineering , Computer Science, Electronics, Electrical Engineering, or similar discipline. - 10+ years of relevant experience in system validation, customer engineering, platform bring ‑ up , or datacenter clusters/solution enablement roles. LOCATION: Penang, Malaysia LI-FY LI-Hybrid Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
Senior AI Cluster Hardware Engineer
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are seeking a highly motivated and skilled GPU Cluster Network Performance Attainment Engineer to join our dynamic team. In this role, you will be at the forefront of optimizing and achieving peak performance for GPU clusters. The focus of this role is the RDMA networks used in AI Clusters, understanding data flows between GPU, NIC and cluster network. The ideal candidate will have a strong background in GPU architectures, parallel computing, and hands-on experience in system level performance tuning and debug methodologies. THE PERSON: The team fosters and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development. A seasoned professional who enjoys hands-on problem-solving. In this role, you’ll shape long-term strategy and jump in to tackle challenges head-on. You’ll have a direct impact on performance, automation, and development, while staying ahead of industry trends to provide strategic insights to senior management. The person should be experienced in debugging complex HW/FW and drivers. KEY RESPONSIBILITIES: - Scalability Testing: Evaluate the scalability of GPU clusters by conducting thorough testing under various workloads, ensuring optimal performance across different cluster sizes, configurations, and networking technologies (RoCE & IB) - Performance Profiling: Utilize profiling tools and methodologies to analyze and identify performance bottlenecks, providing actionable insights for improvement. - Performance Tuning: Implement optimization strategies, including but not limited to protocol enhancements, load balancing techniques, and parallel processing optimizations. - Documentation: Create detailed documentation of performance analysis, tuning efforts, and outcomes, providing clear and concise reports for internal teams and stakeholders. - Collaboration: Work closely with cross-functional teams, including hardware engineers, software developers, and system architects, to integrate performance improvements into the GPU cluster architecture. - NIC & Performance Optimization: Collaborate with hardware and software teams to enhance the overall performance of GPU clusters, focusing on aspects such as RDMA throughput, latency, and collective communications. - Benchmarking and Analysis: Develop and execute comprehensive benchmarking strategies to assess baseline performance, analyze bottlenecks, and identify areas for improvement within GPU cluster environments. - Continuous Learning: Stay current with the latest developments in GPU architectures, parallel processing, and emerging technologies to drive continuous improvement in GPU cluster performance. PREFERRED EXPERIENCE: - Proven experience in optimizing the performance of GPU clusters. - Understanding of RDMA network drivers - Strong understanding of GPU architectures, parallel computing concepts, and network protocols. - Proficiency in scripting languages (e.g., Python, Bash) for automation and performance analysis. - Experience with system level performance analysis tools and methodologies for GPU clusters. - Analytical mindset with excellent problem-solving and debug skills. - Familiarity with cluster management tools and systems. - Excellent communication and collaboration skills for effective teamwork. - RDMA network configuration, troubleshooting and performance tuning. - Linux kernel networking expertise - Machine learning and/or HPC system design ACADEMIC CREDENTIALS: - Bachelors or M asters degree in electrical or computer engineering preferred LOCATION: Austin, TX This role is not eligible for visa sponsorship. LI-SC3 LI-HYBRID Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.
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