Autonomy Engineer - Deep Learning Infrastructure

About this role

Skydio is seeking an Autonomy Engineer to advance their deep learning infrastructure, focused on enhancing the capabilities of autonomous flight technologies. This role involves creating scalable solutions for computer vision tasks and improving deep learning performance on various hardware platforms.

What you'll do

• Develop solutions for deep learning inference with high throughput and low latency
• Profile computer vision models to identify performance bottlenecks
• Design MLOps workflows for deployment and monitoring
• Utilize machine learning frameworks for system performance improvements
• Create methods to enhance training efficiency
• Implement SDKs for autonomous workflows

What they're looking for

• Experience with MLOps and ML inference optimization
• Knowledge of deep learning fundamentals and architectures
• Strong background in computer vision and image processing
• Experience in managing ML pipelines
• Understanding of ML security and compliance
• Familiarity with ML frameworks and libraries
• Ability to drive projects through the software lifecycle
• Strong communication and collaboration skills

Benefits

• Inclusive work culture
• Focus on diversity and innovation
• Opportunities for continuous learning
• Collaboration with multidisciplinary teams
• [unknown]