Autonomy Engineer - Deep Learning Model Acceleration

📋 Description

• Develop high-performance DL inference for CV workloads across hardware
• Profile CV and Vision-Language Models to identify bottlenecks and optimize performance
• Design end-to-end MLOps for deployment, monitoring, and retraining
• Leverage ML frameworks and model-efficient tools to boost system performance
• Create methods to improve training efficiency
• Implement GPU kernels for custom architectures and optimized inference

🎯 Requirements

• Hands-on with MLOps, ML inference acceleration, and edge deployment
• Strong DL fundamentals, techniques, and state-of-the-art models/architectures
• Strong fundamentals in CV, image processing, and video processing
• Experience building/managing ML pipelines for vision tasks (data prep, training, deployment, monitoring)
• Security and compliance requirements in ML infrastructure
• Experience with ML frameworks and libraries

🎁 Benefits

• Inclusive, multidisciplinary culture
• Opportunity to work on autonomous flight AI