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Manager, Software Engineering - Expressive AI Jobs

7 Job Offers

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Software Engineering Manager, Open Source AI Software Solutions
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Lead our open-source AI software team in Bangalore, developing next-generation GPU solutions for global supercomputers. You will manage the full software lifecycle, from architecture to delivery, for cutting-edge ML frameworks and libraries. This role demands strong leadership, project management...
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India , Bangalore
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Not provided
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AMD
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Until further notice
Software Engineering Manager - AI Platform Development
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Spain , Barcelona
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Not provided
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Microsoft Corporation
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Principal Software Engineering Manager - AI Engineering
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Canada , Vancouver
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142400.00 - 257500.00 CAD / Year
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Microsoft Corporation
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Senior Software Engineer, Managed AI - AI model LifeCycle
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United States , San Francisco
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172425.00 - 209000.00 USD / Year
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Crusoe
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Staff Software Engineer, Managed AI - AI Platform
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United States , San Francisco, CA; Sunnyvale, CA
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208725.00 - 253000.00 USD / Year
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Crusoe
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Senior Software Engineer, Managed AI - AI Platform
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United States , San Francisco, CA; Sunnyvale, CA
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172425.00 - 209000.00 USD / Year
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Crusoe
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Senior Manager, Software Engineering - Agentic AI Solutions
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Lead the development of transformative Agentic AI solutions in healthcare. This senior engineering role requires deep expertise in distributed systems, AI integration, and leading high-performing teams. You will build intelligent co-pilots and automations within critical platforms like Epic. Enjo...
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United States , New York
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215000.00 - 275000.00 USD / Year
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K Health
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Explore Manager, Software Engineering jobs in the cutting-edge field of Expressive AI. This leadership role sits at the thrilling intersection of advanced artificial intelligence, creative software development, and strategic team management. Professionals in this position are responsible for guiding engineering teams that build systems capable of generating human-like creative content, such as text, audio, imagery, and code. The core mission is to translate ambitious AI research into robust, scalable, and innovative products that push the boundaries of human-computer interaction. A Manager, Software Engineering in Expressive AI typically oversees the full development lifecycle of AI-driven applications. Common responsibilities include leading a team of software engineers, machine learning engineers, and researchers; setting technical direction and architectural strategy for expressive AI systems; and ensuring the delivery of high-quality, ethical, and performant software. They act as a crucial bridge between product, research, and engineering, prioritizing projects, managing resources, and aligning technical execution with business goals. A significant part of the role involves fostering a collaborative culture of innovation, mentoring technical talent, and staying ahead of the rapidly evolving landscape of generative AI models and multimodal systems. Typical skills and requirements for these jobs include a strong background in software engineering with substantial experience in managing technical teams. Expertise in modern software development practices, cloud infrastructure, and large-scale system design is essential. While not always a hands-on researcher, a deep conceptual understanding of machine learning, particularly in areas like natural language processing, generative models, and deep learning frameworks, is critical. Successful candidates demonstrate exceptional leadership, communication, and project management skills, with the ability to navigate ambiguity and drive complex technical projects from conception to deployment. A passion for the ethical implications and responsible development of expressive AI technology is a key hallmark of professionals in these transformative jobs. If you are a technical leader passionate about shaping the future of creative AI, exploring Manager, Software Engineering roles in Expressive AI offers a unique and impactful career path.

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