About This Position
Edge Autonomy is seeking an experienced autonomy/AI software engineer that can lead the development of our onboard flight autonomy agent.
You will design and implement autonomy algorithms to run on Nvidia Jetson processors to enable autonomous flight behaviors in a variety of real-world environments.
This autonomy system will make fundamental decisions about aircraft flight behavior in the absence of human involvement and must handle a variety of dynamic real-world conditions and events including weather, wind, threats, target, and degradations to aircraft state.
This is not a laboratory science project.
The software you develop will be deployed on fielded aircraft that actively perform operations around the world.
Responsibilities
Lead the design and implementation of the onboard flight autonomy agent on a Jetson processor and interface the Jetson compute node to the aircrafts onboard vehicle management system.
Implement and/or integrate autonomous path planning algorithms on a Jetson processor to enable the aircraft to autonomously respond to high-level mission needs.
Implement and/or integrate autonomous flight performance models to enable autonomous generation of optimal flight paths in degraded aircraft states.
Implement a decision agent to autonomous react to contingency situations including external factors (adverse weather, threats) and onboard mission-critical or flight-critical events (lost comms, lost engine, degraded flight control).
Create a simulation test environment to validate autonomous behavior and test your code in a System Integration Lab (SIL), Hardware Integration Lab (HIL), and Flight Test.
Debug, troubleshoot, and isolate software issues
Qualifications
Bachelors degree in engineering or similar
Experience writing autonomy algorithms that run on Jetson Processors
Experience building a System Integration Lab (SIL) or Hardware Integration Lab (HIL) for Unmanned Aircraft (Preferred)
Experience supporting flight test (Preferred)
Practical experience writing firmware/embedded code for a physical device (Preferred)
Proficient in core languages applicable to Jetson deployment (e.
g.
C++)
Solid understanding of algorithms, data structures, and design patterns
Understanding of path planning algorithms (e.
g.
Dijkstra, A*, etc.
)
Strong sense of ownership and drive in digging into complex problems
Understanding of UAS architectures and subsystems (Preferred)
Understanding of flight-critical software requirements (Preferred)
Understanding of Flight Behavior and Aircraft Performance (Preferred)
Edge Autonomy Benefits
Matching 401(k)
Paid PTO
Paid holidays
Medical, vision, and dental insurance
Group Short-Term and Long-Term Disability
HSA and FSA Options
Critical Care Plan
Accident Care Plan
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