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Engineering Manager (Autonomy)

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Onsite

Engineering Manager (Autonomy)

Skydio

Engineering Manager (Autonomy)

Skills

Product Management

2 months ago

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Important information


Contract type:

Permanent

Salary:

$170,000 – $276,000 / year

Location:

United States

Work mode:

Onsite

Published on:

29 August 2026

What they need


  • Skydio is built around deep technological investments in autonomy that lead to breakthrough products
  • We are looking for world-class engineering leaders to scale up the autonomy team to deliver Skydio’s vision
  • Our small team has incredible technical strength in solving complex algorithmic challenges, and needs help growing to meet the product opportunities ahead
  • You will be responsible for one or more areas of ownership across core drone platforms, SW architecture, simulation, SDK, object detection, map infrastructure, situational awareness, computational photography, and state estimation
  • You will manage the execution of the product + technology roadmap and be responsible for hiring, mentoring, and driving infrastructure investments that make us successful
  • Leverage product insight, robotics and/or computer vision, and high quality software engineering to bring state-of-the-art autonomy technology to market
  • Execute on complex cross-team goals, collaborating across our product management, embedded, mobile, cloud, hardware, and flight test teams with emphasis on excellent communication
  • Hire and mentor elite engineers to scale up our team
  • Leverage your experience and best practices to uphold and improve Skydio’s engineering standards- We are open to candidates with a broad range of experience from tech leads to senior directors who are passionate about our mission
  • Proven leadership, management, recruiting, team building, and communication skills
  • You love building flying robots and making them do amazing things in the world
  • Solid fundamentals in 3D geometry, mathematics, and linear algebra
  • Hands-on technical leader with strong software engineering experience
  • Deep understanding of topics in robotics, computer vision, and software systems
  • Experience with hardware is a plus but not required

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