Autonomy Engineer - Fixed Wing Planning & Controls

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$170K-$240K From the posting source checked Jun 20, 2026

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

76% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Autonomy Engineer - Fixed Wing Planning & Controls San Mateo, California, United States, San Mateo, California, United States 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: As an Autonomy Engineer you will contribute to the development and implementation of the core planning & control stack on F10, Skydio's tailsitter platform. The F10 must reliably operate in the many tailsitter aerodynamic regimes - this coupled with the longer horizon of a faster vehicle makes the planning and control problems challenging and unique. How You'll Make an Impact: - Architect, implement, simulate, and flight test new motion planning strategies - Develop, tune, and analyze new flight controllers - Refine and understand the aerodynamic and dynamic model of a tailsitter aircraft using simulated and flight test data - Inform aspects of hardware design such as sensor requirements and aerodynamic control authority through simulation and analysis - Get out of your comfort zone and help across the stack where needed What Makes You a Good Fit: - Strong proficiency in C++ and Python in real-time contexts - Experience shipping software that controls real hardware, e.g. aircraft, drones, robots, etc.

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