deep learning, computer vision, natural language processing, or computer graphics Strong programming skills in languages such as C++ and Python. Experience with frameworks like TensorFlow, PyTorch Strong grasp of binary analysis, and software/hardware co-optimization techniques. Excellent collaboration and interpersonal skills Considered as a plus Experience in More ❯
deep learning, computer vision, natural language processing, or computer graphics Strong programming skills in languages such as C++ and Python. Experience with frameworks like TensorFlow, PyTorch Strong grasp of binary analysis, and software/hardware co-optimization techniques. Excellent collaboration and interpersonal skills Considered as a plus Experience in More ❯
methods (e.g., generative models, GNNs, active learning, foundation models) in a scientific context. Strong coding skills and experience with relevant ML frameworks (e.g., PyTorch, TensorFlow, JAX) and chemistry toolkits (e.g., RDKit). Deep understanding of molecular representation techniques and their application in modeling. Experience in designing and implementing robust More ❯
methods (e.g., generative models, GNNs, active learning, foundation models)in a scientific context.- Strong coding skills and experience with relevant ML frameworks(e.g., PyTorch, TensorFlow, JAX) and chemistry toolkits (e.g., RDKit).- Deep understanding of molecular representation techniques and their application in modeling.- Experience in designing and implementing robust More ❯
any tool, and we actively support ongoing training. Experience with ML frameworks and tools to design, train and deploy machine learning models (e.g. PyTorch, TensorFlow, ONNX, TensorRT). TypeScript (browser, server, and client) - Node.js, Electron, React, Visual Studio Code extensions. API and service development (e.g. web services, linux services More ❯
hardware, developing innovative solutions, and collaborating with teams to build high-performance AI systems. Responsibilities: Your responsibilities involve working with major ML frameworks (PyTorch, TensorFlow, etc.) to port and develop ML networks, optimize and quantize models for efficient execution on Arm platforms, and help ensure multiple Arm products are … system architecture. Required Skills and Experience: • A background in computer science, software engineering or other comparable skills • Experience training and debugging neural networks with TensorFlow and PyTorch using Python • Understanding, deploying, and optimizing Large Language Models (LLMs) and Generative AI algorithms. • Experience using software development platforms and continuous integration … are well understood and the critical areas needing improvement are understood Nice To Have Skills and Experience: • Experience of the inner workings of Pytorch, Tensorflow, Executorch and Tensorflow Lite • Experience of developing and maintaining CI/testing components to improve automation of model analysis • Good knowledge of Python More ❯
to work independently, define goals and scope and lead your own development effort. KEY RESPONSIBILITIES: Optimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorch for AMD GPUs in open-source repositories. Develop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific AI operations. … and Triton for multi-GPU and multi-platform performance. Deep Learning Integration: Proficient experienced in integrating optimized GPU performance into machine learning frameworks (e.g., TensorFlow, PyTorch) to accelerate model training and inference, with a focus on scaling and throughput. Software Engineering: Proficient skills in Python and C++, with experience More ❯
to work independently, define goals and scope and lead your own development effort. KEY RESPONSIBILITIES: Optimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorch for AMD GPUs in open-source repositories. Develop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific AI operations. … and Triton for multi-GPU and multi-platform performance. Deep Learning Integration: Proficient experienced in integrating optimized GPU performance into machine learning frameworks (e.g., TensorFlow, PyTorch) to accelerate model training and inference, with a focus on scaling and throughput. Software Engineering: Proficient skills in Python and C++, with experience More ❯
