• Machine Learning Engineer, ML Runtime…

    pony.ai (Fremont, CA)
    …design and software infrastructure. + Apply model optimization and efficient deep learning techniques to models and optimized ML operator libraries. + ... model optimization, quantization or other efficient deep learning techniques + Good understanding of hardware performance...vision, machine learning and deep learning . + Strong knowledge of software design,… more
    pony.ai (05/03/25)
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  • Software Engineering Manager, PyTorch MTIA

    Meta (Menlo Park, CA)
    …PyTorch org. The team's mission is to explore, develop and help productize high- performance software and hardware technologies for AI at datacenter scale. Team ... stack. **Preferred Qualifications:** Preferred Qualifications: 9. Experience working with deep learning frameworks such as PyTorch, TensorFlow, JAX, ONNX,… more
    Meta (03/11/25)
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  • Software Engineer, Systems ML - SW/HW…

    Meta (Fremont, CA)
    …9. Specialized experience in one or more of the following machine learning / deep learning domains: Hardware accelerators architecture, GPU architecture, ... learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine ...years of experience in AI framework development or accelerating deep learning models on hardware architectures OR… more
    Meta (04/18/25)
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  • AI Researcher, AI Software & Platform

    Cisco (San Jose, CA)
    …summarization is a strong plus. Innovative Solution Development: Ability to apply deep learning techniques innovatively to solve complex problems, often ... Commitment to staying abreast of the latest research and trends in deep learning , continually integrating new findings and techniques into problem-solving… more
    Cisco (04/09/25)
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  • Software Engineering Manager - CUDA Python

    NVIDIA (Santa Clara, CA)
    …the gamut of high performance computing, scientific computing, data analytics, deep learning , and professional graphics running on hardware ranging from ... market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing… more
    NVIDIA (04/24/25)
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  • Software Development Engineer, SageMaker

    Amazon (Santa Clara, CA)
    …With Amazon SageMaker, AWS is building customer-facing services to empower data scientists and software engineers in their deep learning endeavors. As our ... About You: You are passionate about building platform and products for large scale deep learning model training (100+ billion parameter GPT, 1000s of GPU… more
    Amazon (05/03/25)
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  • Senior, Software Engineer

    Walmart (Sunnyvale, CA)
    …scientists, and product visionaries who are passionate about using cutting-edge machine learning , deep learning , reinforcement learning , natural ... millions of customers. We are looking for a **Senior Software Engineer** to join the Personalization team under Customer...serve our customer needs by leveraging cutting edge machine learning , deep learning , reinforcement … more
    Walmart (03/11/25)
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  • Senior Software Engineer, TensorRT-LLM

    NVIDIA (Santa Clara, CA)
    …commercial groups around the world are using GPUs to power a revolution in deep learning -powered AI, enabling breakthroughs in areas like LLM, ChatGPT and ... + Strong curiosity about artificial intelligence, awareness of the latest developments in deep learning like LLMs, generative and recommender models + Experience… more
    NVIDIA (04/09/25)
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  • Senior Software Engineer, AI for Gaming

    NVIDIA (Santa Clara, CA)
    …research from across NVIDIA and the industry to gamers and 3D professionals in high- performance packages such as Deep Learning Super Sampling (DLSS) and ... We are looking for a Senior Software Engineer to join the NVIDIA Developer Technology...development, PC games, graphics, and educational applications. + Optimize Deep Learning models' size and performance more
    NVIDIA (02/25/25)
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  • Software Engineer, SystemML - AI Networking

    Meta (Menlo Park, CA)
    …skills 6. Specialized experience in one or more of the following machine learning / deep learning domains: Distributed ML Training, GPU architecture, ML ... 11. Experience in AI framework and trainer development on accelerating large-scale distributed deep learning models 12. Experience in HPC and parallel computing… more
    Meta (04/22/25)
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