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