Skydio
Autonomy Engineer - Deep Learning
$170K–$278K
San Mateo, California, United States · Hybrid · Full-time · Posted Dec 16, 2025
- Education
- M.S. or Ph.D. in computer science, electrical engineering, or a related discipline.
- Visa sponsorship
- For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility.
About the job
Designs, trains, optimizes, and deploys deep learning models for computer vision and autonomy in Skydio’s aerial robots.
What you'll do
- Build and deploy computer vision and multimodal deep learning models for the autonomy system.
- Use real-world video, sensor data, and synthetic data for model development, training, and evaluation.
- Optimize models for low-latency embedded hardware and develop autonomy performance benchmarks.
What they ask for
- Demonstrated hands-on experience designing, training, and deploying deep learning models.
- Ability to deliver high-quality, well-architected code in Python/PyTorch; C++ preferred.
- Ability to use academic research for rapid iteration and work within a complex codebase.
- Strong communication skills and ability to work in a fast-paced, collaborative technical team.
Nice to have
- C++
- FAA Part 107 certification is strongly encouraged within the first 60 days; required for certain positions.
Pay
$170,000 - $277,500 USD annual base salary
Tools
Python, PyTorch, C++
AI focus
Develop and deploy real-time deep learning for computer vision and autonomy, including optical flow, stereo depth, detection, segmentation, tracking, localization, mapping, and path planning; use foundation models for knowledge distillation and label-efficient learning.
Model-written summary · the original posting is authoritative