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Consultant Ai Automation jobs at Cisco in United States, San Francisco
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San Francisco
32 jobs found
28.07.2025
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Cisco AI Infrastructure Abstraction Engineer United States, California, San Jose
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Design and implement infrastructure abstractions that cleanly separate logical compute units (vGPUs, GPU pods, AI queues) from physical hardware (nodes, devices, interconnects) . Develop runtime services, APIs, and control planes...
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28.07.2025
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Cisco Senior PR Manager Hardware Innovation AI United States, California, San Jose
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You will be a key member of our team that defines, designs, and builds dynamic and futuristic technology solutions in the physical security space that protect our most valuable assets...
28.07.2025
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Cisco Executive Assistant VP Engineering + AI United States, California, San Francisco
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Calendar Management: Handles VP's calendar by prioritizing schedules and meetings. You may decide who gets on the principal’s calendar, which meetings are attended, and who can attend in their place....
28.07.2025
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Cisco Leader Network Experiences & AI United States, California, San Jose
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AI-Driven Innovation: Leverage AI tools and technologies to drive the evolution of Catalyst 9000 products, creating smarter, more adaptive network solutions that anticipate and meet customer needs. Enhance Network Experiences:...
28.07.2025
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Cisco AI Infrastructure Engineer United States, California, San Jose
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Technical leader who can lead and motivate teams, present, and communicate complex topics. Technical hands-on role in building and supporting NVIDIA & Cisco UCS based artificial intelligence platforms. Plan, build,...
27.07.2025
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Cisco Engineering Product Manager – AI Canvas United States, California, San Jose
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Own end-to-end management of the Core CanvasGenUIproduct within the AI Canvas platform, driving innovation in autonomous IT operations. Shape the strategic roadmap for Core Canvas, integrating AI-driven insights, real-time telemetry,...
21.07.2025
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Cisco AI Operations Engineering Technical Leader United States, California, San Jose
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Design, build, and manage robust ML pipelines for training, validation, and deployment. Build and maintain scalable infrastructure for ML experiments and inference in multiple public cloud. Implement CI/CD for ML...
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Description:Full job details
Design and implement infrastructure abstractions that cleanly separate logical compute units (vGPUs, GPU pods, AI queues) from physical hardware (nodes, devices, interconnects) . Develop runtime services, APIs, and control planes...
These jobs might be a good fit
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