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Staff Applied Machine Learning Software Engineer – Generative AI
2 months ago
At AMD, we're pushing the boundaries of innovation to solve the world's most important challenges. We're seeking a talented and motivated AI Software Engineer to join our team and contribute to the development of cutting-edge Generative AI solutions.
The Role:As an AI Software Engineer, you'll be responsible for exploring and improving state-of-the-art research in Generative AI inference solutions. You'll work on developing tools and techniques for model analysis, profiling, and performance projections, as well as architecting and prototyping custom kernels on GPUs and CPUs. Your work will shape and influence AMD's inference and training solutions across the software stack, from frameworks like PyTorch/ONNX to custom hardware like NPU/GPU.
The Person:We're looking for someone with a deep understanding of foundational AI model architectures, software development, and AI/ML frameworks. You'll have demonstrated efficiently mapping AI models onto GPUs and/or other hardware accelerators. You'll be someone who can work in a dynamic, fast-paced development environment with excellent collaboration skills and a spirit of innovation.
Key Responsibilities:- Accelerate inference of Generative AI on AMD's products.
- Develop tools and techniques for model analysis, profiling, and performance projections.
- Architect and prototype custom kernels on GPUs and CPUs.
- Optimize deep learning inference pipeline, including graph compilation using AMD AI compilers.
- Reproduce and improve upon state-of-the-art quantization, pruning, and optimization algorithms in PyTorch and Python.
- Develop high-quality software to enable next-gen solutions.
- Collaborate with AI/ML frameworks and infrastructure teams to enable new algorithms in the platforms.
- Collaborate with AMD Research and Architecture teams to improve future products.
- Solid understanding of CNN, Transformer model architectures, LLMs, and Stable Diffusion models.
- Strong development and debugging skills in Python.
- Experience with model optimization, including quantization and sparsity algorithms.
- Experience in development with ML frameworks like PyTorch, ONNXRuntime, JAX, and TensorFlow.
- Familiarity with AI compilers and execution runtime.
- Experience in C++ programming for GPUs and/or custom accelerators.
- BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related technical fields.
At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role, such as an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD's Employee Stock Purchase Plan. You'll also be eligible for competitive benefits described in more detail here.
