Skydio
From Skydio's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
About the role: The core of our system is the computer vision algorithms that allow drones to understand the world around them.
Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors https://www.skydio.com/solutions/energy-and-utilities to first responders https://www.skydio.com/solutions/public-safety, soldiers in battlefield scenarios https://www.skydio.com/solutions/national-security/tactical-isr, and beyond https://www.skydio.com/solutions.
The core of our system is the computer vision algorithms that allow drones to understand the world around them. You will architect and implement the algorithms that run on every drone powered by Skydio as part of a world class computer vision team with researchers who have pushed the state of the art in academia and industry.
We are looking for people who bring together an understanding of the relevant theory, solid software skills, and an ability to drive through to working solutions.
Design and implement real-time estimation, mapping, tracking, classification, and detection algorithms
Imagine and then implement new features that unlock magic for our users
Characterize and quantify the performance of the vision system
Research and prototype new approaches
Be a generalist helping out on all aspects of the software when needed
More important than specific domain experience is an ability to make the math, the algorithms, and the code all line up and work well on real world problems
Hands-on experience with visual odometry, state estimation, mapping, and SLAM
Proficiency with probabilistic inference and 3d geometry
Optimization for computationally constrained environments
Deep Learning - training data, neural networks, online learning
Solid software engineering foundation and a commitment to writing clean, well architected code
High proficiency in C++
Ability to thrive in a fast paced, collaborative, small team environment
Obtaining FAA Part 107 certification within the first 60 days of employment is strongly encouraged for all Skydio employees and required for certain positions
Compensation: The annual base salary range for this position is $170,000 - $277,500*. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Skydio full-time employees are eligible to enroll in our benefit plans and take advantage of a variety of incentives and stipends.
Compensation for certain positions may vary based on the position's location.
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At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.
For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/
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Hi [Name], I just applied for the Senior Autonomy Engineer - Computer Vision role at Skydio. My background in [your most relevant experience] lines up well with what the team is looking for. Would you be open to a quick chat, or could you point me to the right person on the team? Thank you!
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