Senior Autonomy Engineer - Computer Vision

San Mateo, California, United States Aerospace Full-time $170k to $278k Posted Sep 16, 2026
Apply on Skydio (opens in a new tab) Sourced via jobs.ashbyhq.com · Posted 2026-09-16

About this role

Skydio is hiring a Senior Autonomy Engineer - Computer Vision, full-time, on-site in San Mateo, California, United States, in the Aerospace sector.

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 to first responders , soldiers in battlefield scenarios , and beyond .

About the role:

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.


How you'll make an impact:

  • 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

What makes you a good fit:

  • 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.

Description from Skydio's official posting. Always confirm details on the company careers page.

Apply on Skydio Applications go directly to Skydio. Curated by Larry Sherwood Jr.

About Skydio

Skydio

Autonomous drones for enterprise and defense. San Mateo, CA.

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Larry Sherwood Jr.

About Larry Sherwood Jr.

Talent Acquisition Leader specializing in mobility, EV, and frontier tech. 1,000+ hires across roles ranging from production technicians to VPs, including 48 hires for the AFEELA U.S. launch at Sony Honda Mobility (98% offer acceptance, $1.5M+ agency savings). SHRM-CP certified. Build recruiting functions from scratch, no agencies.

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Curated by Larry Sherwood Jr. on the free Mobility Jobs board. Pulled nightly from company applicant tracking systems. Apply directly on the source link above to be considered.