Director Machine Learning Engineering - AI/ML Model Compiler and ApplicationsAdvanced Micro Devices , Inc. • United States
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Director Machine Learning Engineering - AI/ML Model Compiler and Applications
Advanced Micro Devices , Inc.
- United States
- United States
Über
What you do at AMD changes everything. At AMD, our mission is to build great products that accelerate next-generation computing experiencesfrom 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 challengesstriving 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 Director, Machine Learning to join our AI/ML Model Compiler and Applications team. If you are excited by the challenge of distributed training of large models on Neural Processing Unit (NPUs), 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. The person: The ideal candidate should have experience with delivering ML compiler solutions, understanding of NPU hardware architecture, defining scalable algorithms that enables efficient problem mapping, interfacing with customers to understand the requirements and driving a team to develop solutions. Key responsibilities: Lead a growing team focused on research, design, and implement novel methods for efficient Generative AI. Experience in developing ML compilers for low power inference architecture Experience in all 3 stages of ML compiler- front end, middle end and backend Experience in defining optimized tiling algorithms, fusion algorithms at different memory hierarchy Influence the direction of AMD AI platform. Collaborate across teams with various groups and stakeholders. Propose and apply innovative model quantization, sparsity, and acceleration algorithms on various AMD platform, e.g., GPU/CPU/AIE. Collaborate with software and hardware team to E2E co-optimize model performance. Work with open-source framework and community (e.g., Pytorch, Huggingface) to integrate AMD optimized models and libraries. Preferred experience: Experience with ML frameworks such as Onnx, PyTorch, or TensorFlow. Experience with distributed training and distributed training frameworks, such as DeepSpeed. Experience with LLMs or computer vision, especially large models, is a plus. Excellent C++ and Python programming skills, including debugging, profiling, and performance analysis. Experience with ML pipelines. Strong communication and problem-solving skills. Strong leadership and management skills. Academic credentials: A PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Sprachkenntnisse
- English
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