Autonomy Engineer - Deep Learning Infrastructure

📋 Description Build and scale DL/AI infra for CV workloads with high throughput and low latency Profile CV and Vision Language Models to optimize performance and power Design end-to-end MLOps for deployment, monitoring, retraining Leverage ML frameworks and tools to improve system performance Create methods to improve training efficiency Implement GPU kernels for custom architectures and optimized inference 🎯 Requirements Hands-on experience with MLOps and ML inference acceleration and edge deployment Strong knowledge of DL fundamentals and state-of-the-art models Strong fundamentals in CV, image processing, and video processing Demonstrated hands-on experience building and managing ML pipelines for vision tasks Security and compliance requirements in ML infrastructure Experience with ML frameworks and libraries 🎁 Benefits Inclusive, multidisciplinary culture Collaborative environment across autonomy, embedded, and cloud teams Growth opportunities within Skydio engineering