Key technologies and capabilities for this role
Common questions about this position
You will work within an existing C++17 and Python codebase, implementing features, bug fixes, tests, and validation.
Projects include improving path planning for aerial spray applications, building new path planning algorithms for cargo logistics in GPS-denied environments, on-ground taxi path planning for airports, and integrating detect and avoid systems for beyond visual line of sight flight.
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A strong candidate has demonstrated skills working on complex and high abstraction problems, a great track record of delivering results, and as a senior engineer, opportunities for technical leadership and mentorship.
Develops autonomous electric airplanes for agriculture
Pyka develops autonomous electric airplanes that can perform all flight operations without human intervention, including taxiing, takeoff, flight, and landing. These aircraft are particularly efficient, using less power than electric cars and featuring minimal moving parts, making them cost-effective for agricultural applications like crop spraying. Equipped with advanced sensors and software, Pyka's airplanes ensure precise flying close to the ground, reducing waste and increasing efficiency for large-scale farmers. The company's goal is to transform the agricultural aviation industry by providing safe, efficient, and affordable aerial solutions.