22 hours ago
San Mateo, CA, USAIntern
H1B sponsor
Responsibilities
- Research, prototype, and assess the feasibility of new approaches for intelligent autonomous systems.
- Architect and implement computer vision and autonomy algorithms for Skydio drones.
- Develop new features that advance autonomous capabilities and improve products.
- Characterize and quantify the performance of core software and hardware components.
- Own a project and collaborate with members of the core software development team to advance research into real products.
Requirements
- PhD student status with relevant research experience.
- High proficiency in C++ and/or Python.
- Strong foundation in mathematics, theory, and software development.
- Demonstrated interest in one or more areas including computer vision, deep learning, motion planning, dynamics and controls, 3D graphics, embedded software/firmware, distributed systems, tools/infrastructure, or mobile.
- Solid software engineering foundation and commitment to clean, well-architected code.
- Ability to work effectively in a fast-paced, collaborative, small-team environment.
Benefits
- $70 per hour for PhD students; regional location may affect pay.
- Full-time Skydio employees are eligible to enroll in benefit plans and access various incentives and stipends.
- The position is located in the United States and Skydio uses E-Verify to confirm employment eligibility.
Categories
ML EngineeringRobotics
About Skydio
Skydio builds autonomous drones, docking systems, and fleet management software for enterprise, public safety, and defense customers. It sells hardware with AI-based autonomy plus SaaS for fleet operations, inspections, and Drone-as-First-Responder programs. Founded in 2014 and headquartered in San Mateo, California, the company designs and assembles its products in the U.S., with manufacturing in Hayward, and its systems are used across utilities, law enforcement, and the U.S. military.