Description
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.
Senior Manager – ROCm / RyzenAI Software Development & AI Validation
Role OverviewAs a Senior Manager, you will lead a cross‑functional software engineering and validation team chartered with building, optimizing, and validating ROCm, RyzenAI software stacks, and AI runtimes for AMD GPU/APU/NPU platforms.
Your organization will drive end‑to‑end enablement, including feature development, integration readiness, performance optimization, and validation for physical AI, embedded/edge AI, and data‑center ROCm deployments.
- Oversee the development and integration of AI software frameworks including ROCm, Tensor runtimes, compiler toolchains, and operator libraries.
- Guide teams implementing AI‑focused enhancements across GPU, NPU, and hybrid (CPU+NPU+GPU) execution pathways for embedded RyzenAI/APUs.
- Collaborate with open‑source communities by driving PRs and contributing upstream to AI frameworks such as PyTorch, Triton, vLLM, and SGLang.
- Ensure robust developer‑facing collateral—tutorials, demos, technical notes—supporting adoption of AMD AI software stacks.
- Lead the definition and execution of end‑to‑end AI model validation spanning ROCm GPUs, RyzenAI APUs (CPU+GPU+NPU), Versal AI Edge, and AMD Instinct accelerators.
- Oversee validation pipelines for models across CV, NLP, LLMs, and multimodal architectures (e.g., ResNet, YOLO, BERT, Llama).
- Ensure functional correctness, framework consistency (PyTorch / TensorFlow / ONNX‑RT), and performance characterization (latency, throughput).
- Own regression automation, accuracy debugging, issue triage and re‑validation cycles.
- Lead a geographically distributed engineering team executing multi‑component software development programs involving drivers, compilers, libraries, and runtimes.
- Build technical roadmaps in partnership with architects, HW teams, and product managers.
- Drive schedule planning and risk management across multiple SW components and hardware dependencies.
- Influence cross‑org alignment across AI SW, G&E, AIG, embedded platform teams, and external partners.
- Drive software readiness for physical AI applications—including robotics, industrial automation, autonomous systems—leveraging ROCm, RyzenAI and embedded x86 platforms.
- Prioritize operator enablement, hybrid execution modes, and device support required for automotive, industrial, and robotics customers.
- Enable deterministic, real‑time AI pipelines combining GPU, NPU and CPU execution.
- 14+ years in software development with 3–5 years in technical or people leadership roles.
- Strong hands‑on background with Python, C/C++, Linux toolchains, GPU compute, and AI frameworks.
- Expertise in ROCm, CUDA, GPU compute optimization, ML compilers, and heterogeneous compute architectures.
- Experience validating AI workloads, debugging model accuracy, building test plans, and performance analysis.
- Excellent communication and cross‑functional leadership abilities.
- Bachelor's or Master's degree in Computer Science, Electrical/Computer Engineering, or related fields.
AMD's expansion into RyzenAI, ROCm, and Physical AI requires leaders who can integrate hardware, software, and AI models into unified, production‑ready systems across data center, edge and embedded markets. This role sits at the core of AMD's strategy to scale AI capabilities across its heterogeneous compute portfolio.
#LI-PK1
Senior Manager – ROCm / RyzenAI Software Development & AI Validation
Role OverviewAs a Senior Manager, you will lead a cross‑functional software engineering and validation team chartered with building, optimizing, and validating ROCm, RyzenAI software stacks, and AI runtimes for AMD GPU/APU/NPU platforms.
Your organization will drive end‑to‑end enablement, including feature development, integration readiness, performance optimization, and validation for physical AI, embedded/edge AI, and data‑center ROCm deployments.
- Oversee the development and integration of AI software frameworks including ROCm, Tensor runtimes, compiler toolchains, and operator libraries.
- Guide teams implementing AI‑focused enhancements across GPU, NPU, and hybrid (CPU+NPU+GPU) execution pathways for embedded RyzenAI/APUs.
- Collaborate with open‑source communities by driving PRs and contributing upstream to AI frameworks such as PyTorch, Triton, vLLM, and SGLang.
- Ensure robust developer‑facing collateral—tutorials, demos, technical notes—supporting adoption of AMD AI software stacks.
- Lead the definition and execution of end‑to‑end AI model validation spanning ROCm GPUs, RyzenAI APUs (CPU+GPU+NPU), Versal AI Edge, and AMD Instinct accelerators.
- Oversee validation pipelines for models across CV, NLP, LLMs, and multimodal architectures (e.g., ResNet, YOLO, BERT, Llama).
- Ensure functional correctness, framework consistency (PyTorch / TensorFlow / ONNX‑RT), and performance characterization (latency, throughput).
- Own regression automation, accuracy debugging, issue triage and re‑validation cycles.
- Lead a geographically distributed engineering team executing multi‑component software development programs involving drivers, compilers, libraries, and runtimes.
- Build technical roadmaps in partnership with architects, HW teams, and product managers.
- Drive schedule planning and risk management across multiple SW components and hardware dependencies.
- Influence cross‑org alignment across AI SW, G&E, AIG, embedded platform teams, and external partners.
- Drive software readiness for physical AI applications—including robotics, industrial automation, autonomous systems—leveraging ROCm, RyzenAI and embedded x86 platforms.
- Prioritize operator enablement, hybrid execution modes, and device support required for automotive, industrial, and robotics customers.
- Enable deterministic, real‑time AI pipelines combining GPU, NPU and CPU execution.
- 14+ years in software development with 3–5 years in technical or people leadership roles.
- Strong hands‑on background with Python, C/C++, Linux toolchains, GPU compute, and AI frameworks.
- Expertise in ROCm, CUDA, GPU compute optimization, ML compilers, and heterogeneous compute architectures.
- Experience validating AI workloads, debugging model accuracy, building test plans, and performance analysis.
- Excellent communication and cross‑functional leadership abilities.
- Bachelor's or Master's degree in Computer Science, Electrical/Computer Engineering, or related fields.
AMD's expansion into RyzenAI, ROCm, and Physical AI requires leaders who can integrate hardware, software, and AI models into unified, production‑ready systems across data center, edge and embedded markets. This role sits at the core of AMD's strategy to scale AI capabilities across its heterogeneous compute portfolio.
#LI-PK1
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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