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You will advise both groups on technical IoT device/flying robot troubleshooting best practices, identify, build and deploy troubleshooting and log analysis tools, lead Support-Product team weekly escalation meetings to mitigate emerging issues and much more. This role is ideal for someone looking to gain broad technical product and business operations experience, and also open a door to longer-term careers in hardware or software engineering, and technical product management. 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Deep Learning Infrastructure San Mateo, California, United States, San Mateo, California, United States Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders , soldiers in battlefield scenarios , and beyond . Skydio is the leading US drone company and the world leader in autonomous flight. We leverage breakthrough AI to create the world's most intelligent flying machines for use by enterprise and government. Learning a semantic and geometric understanding of the world from visual data is the core of our autonomy system. We are pushing the boundaries of what is possible with real-time deep networks to accelerate progress in intelligent mobile robots. About the role: If you are excited about leveraging massive amounts of structured video data to solve problems in Computer Vision (CV) such as object detection and tracking, optical flow estimation and segmentation, we would love to hear from you. How you'll make an impact: As a deep learning infrastructure engineer, you will be responsible for building and scaling the infrastructure that supports Skydio's DL and AI efforts. 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