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Owen Watters is a distinguished technology leader with extensive experience in artificial intelligence, software development, and high-performance computing. He currently holds a significant leadership role at NVIDIA, where he is instrumental in shaping the company's AI platform strategy and driving the development of software solutions that power a wide range of AI applications. His work encompasses overseeing advancements in deep learning frameworks, inference engines, and tools that enable developers and enterprises to harness the full potential of GPU-accelerated computing for AI. Owen is known for his deep technical expertise, strategic vision in the rapidly evolving AI landscape, and his commitment to fostering innovation and growth within the AI ecosystem. He focuses on making complex AI technologies more accessible and scalable for diverse industries, from research institutions to large corporations.
Owen Watters's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Plays a crucial role in guiding the strategy, development, and delivery of NVIDIA's comprehensive AI software stack, including libraries like CUDA, cuDNN, TensorRT, and platforms like NVIDIA AI Enterprise. This work enables high-performance AI training and inference across various domains.
Contributed significantly to the advancement and adoption of GPU technology for AI, machine learning, and deep learning, helping to establish NVIDIA as a leader in the AI hardware and software space.
Spearheaded initiatives to make AI more accessible, manageable, and deployable for enterprise customers, focusing on delivering robust, scalable, and secure AI solutions for real-world business challenges.
Actively involved in building and supporting the global community of AI developers and researchers by providing powerful tools, SDKs, and resources, thereby accelerating innovation and application development on NVIDIA platforms.
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Corellium offers a virtual hardware platform for ARM-based devices, enabling security researchers, app developers, and IoT/embedded engineering teams to run virtualized iOS, Android, and Linux devices. This facilitates advanced security testing, debugging, and development without needing physical hardware, either in the cloud or on-premise. Their technology is particularly valuable for those needing to analyze firmware, test applications on various OS versions, or conduct malware research on mobile platforms securely and at scale.
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