Autonomy Engineer - Fixed Wing Planning & Controls

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

83% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

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

Schedule

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Weekend work

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Application

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Deadline

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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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