Autonomy Engineer - Deep Learning Model Acceleration

About the Role

Learning a semantic and geometric understanding of the world from visual data is the core of Skydio's autonomy system. We are pushing the boundaries of what is possible with real-time deep networks to accelerate progress in intelligent mobile robots. If you are excited about leveraging massive amounts of structured video data to solve problems in Computer Vision such as object detection and tracking, optical flow estimation and segmentation, we would love to hear from you.

As a deep learning model acceleration engineer, you will be responsible for building and scaling the infrastructure that supports Skydio's Deep Learning and AI efforts. You will be working at the nexus of Skydio's autonomy, embedded and cloud teams to deliver new capabilities and empower the deep learning team.

How You'll Make an Impact

• Develop solutions for high-performance deep learning inference for Computer Vision workloads that can deliver high throughput and low latency on different hardware platforms
• Profile Computer Vision and Vision Language Models to analyze performance, identify bottlenecks and acceleration/optimization opportunities