Senior Autonomy Engineer - Deep Learning

About the role

Learning a semantic and geometric understanding of the world from visual data is the core of our autonomy system. We are pushing the boundaries of what is possible with real-time deep networks to accelerate progress in intelligent mobile robots.

Key responsibilities

• Design and implement deep learning solutions for detection, tracking, segmentation, and optical flow estimation in real-time on Skydio drones.
• Leverage state-of-the-art methods in unsupervised learning, few‑shot learning, and foundational models for data‑efficient machine learning.
• Curate and enhance synthetic and structured video data that powers our algorithms.
• Refine and optimize models for low‑latency on embedded hardware.
• Characterize and quantify vision system performance, research and prototype new approaches, and assist across software domains as needed.

Required profile

• Hands‑on experience creating and deploying deep learning models.
• Experience curating synthetic and real‑world image datasets.
• Solid software engineering foundation with clean, well‑architected code in Python and/or C++.
• Ability to read and contextualize scientific papers in computer vision.
• Thrives in a fast‑paced, collaborative, small‑team environment.

Required skills

• Python
• C++
• Deep learning
• Computer vision