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© All Rights Reserved. ApplyBlast.com
Skydio
As a Deep Learning Model Acceleration Engineer at Skydio, you will build and scale infrastructure supporting real-time deep networks for autonomous drones. You will develop high-performance inference solutions for Computer Vision workloads, design MLOps workflows, and optimize ML models for edge deployment across various hardware platforms. This role bridges autonomy, embedded, and cloud teams to deliver capabilities that empower the company's AI efforts in diverse applications from inspection to national security.
Headquarters
San Mateo, California, United States
Company Size
501-1000 employees
Founded
2014
Skydio builds AI-powered autonomous drones and software for inspection, public safety (Drone-as-First-Responder), tactical ISR, site security, surveying, and mapping. Their systems combine advanced computer-vision autonomy and obstacle avoidance with hardware and cloud tools tailored for enterprise and government customers. Organizations such as utilities, critical infrastructure operators, law enforcement, and national security agencies use Skydio to collect data faster and safer and to enable remote operations. Skydio emphasizes ease of use, robust autonomy, and scalable fleet management for demanding field missions.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Skydio.
Skydio didn’t post a salary, so this is our estimate from similar listings.