Inactive
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Skydio

Builds autonomous drones for work in dangerous places

Autonomy Engineer Intern - Deep Learning or Computer Vision

Applied Machine Learning +2Posted on Mar 9
Internship · Year-roundSan Mateo, CA, USA$58 /hrIn-person

About the Job

Requirements

  • High proficiency in C++ and/or Python
  • Demonstrated enthusiasm for one or more of the following: computer vision, deep learning, motion planning, dynamics and controls, 3D graphics, embedded software/firmware, distributed systems, tools/infrastructure, mobile
  • Solid software engineering foundation and a commitment to writing clean, well-architected code
  • Ability to thrive in a fast-paced, collaborative, small team environment
  • Strong foundation in math, theory, and software development with relevant research

Responsibilities

  • Enable rapid research and development of intelligent systems with advanced autonomous capabilities beyond anything that exists in the world today
  • Research, prototype, and generally assess the feasibility of new approaches
  • Imagine and then implement new features that unlock magic for our users
  • Characterize and quantify the performance of core components of the software and hardware stack

About the Company

Skydio

Builds autonomous drones for work in dangerous places

Skydio builds autonomous drones for public safety agencies, utilities and military teams that need images and information from dangerous or hard-to-reach places. Its flying robots span outdoor inspection, indoor reconnaissance and longer-range response missions, with visual and thermal cameras to capture conditions on the ground. Operators use its Command software to plan missions, launch aircraft from remote docks and turn repeated flights into inspection records or live views of emergencies. Skydio sells the aircraft, software subscriptions and support services to organizations directly and through resellers. Founded in 2014, it is headquartered in San Mateo, California, United States.

Company size
501-1,000
Company stage
Series F
Total funding
$851M
Headquarters
San Mateo, CA
Founded
2014

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