Skydio · 4 days ago
Autonomy Engineer - Deep Learning
San Mateo, CA
Full-time
Onsite
Mid, Senior Level
$170K/yr - $278K/yrSkydio is the leading US drone company and the world leader in autonomous flight. The role involves training and deploying optimized deep learning models to solve complex problems in computer vision and autonomy, contributing to the development of intelligent aerial robots.
Artificial Intelligence (AI)Drone ManagementDronesMachine LearningRobotics
Responsibilities
Design, implement, and deploy computer vision and multimodal deep learning models for Skydio’s autonomy system
Leverage massive amounts of real world video and other sensor data for data mining, curation, labeling, training and evaluation
Leverage large scale and diverse synthetic data to power deep learning algorithms
Leverage state-of-the-art foundation models for knowledge distillation and label efficient learning
Refine and optimize models for low-latency on embedded hardware
Develop evaluation benchmarks and metrics to quantify the performance of autonomous systems
Be a generalist helping out on all aspects of the software when needed
Qualification
Required
M.S. or Ph.D. in computer science, electrical engineering or related discipline
Demonstrated hands-on experience designing, training and deploying deep learning models
Ability to deliver high quality, well-architected code (Python/PyTorch and preferably, C++)
Leverage state-of-the-art academic papers and literature for fast iteration
Ability to thrive in a fast paced, collaborative and highly technical team environment
Comfortable navigating and delivering within a complex codebase
Strong communication skills
Benefits
Equity in the form of stock options
Comprehensive benefits packages
Paid vacation time
Sick leave
Holiday pay
401K savings plan
Company
Skydio
Skydio uses artificial intelligence to create flying drones that are used by consumer, enterprise, and government customers.
Founded in 2014
501-1000 employees
H1B Sponsorship
Skydio has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (34)
2024 (21)
2023 (22)
2022 (12)
2021 (16)
2020 (3)
Funding
Current Stage
Late StageTotal Funding
$740MKey Investors
Linse CapitalAndreessen HorowitzN47
2024-11-15Series E· $170M
2023-02-27Series E· $230M
2021-02-28Series D· $170M
Leadership Team
Adam Bry
Co-founder & CEO
Tom Moss
COO (2018-2020), CEO APAC (2020-2024), Chief Corp Dev (2024~)
Recent News
Accel.
2026-01-06
2025-12-17
Business Wire
2025-12-16
Company data provided by crunchbase