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Edge Autonomy · 1 month ago

UAS Autonomy Applications Engineer

United States

Full-time

Onsite

Senior Level

$140K/yr - $170K/yr

5+ years exp

Edge Autonomy is seeking an experienced UAS Autonomy Applications Engineer to develop and expand the capabilities of their UAS platform using advanced algorithms and techniques. The role involves implementing optimization algorithms in embedded environments and ensuring the safety and reliability of software for operational aircraft engaged in global missions.

AerospaceDrone ManagementDrones

No H1B

U.S. Citizen Only

Responsibilities

Assist with implementation of the onboard autonomy agent on a Jetson processor, integrating it with the aircraft’s mission system

Develop and optimize autonomy algorithms and solutions, enabling adaptive response to high-level mission requirements under various environmental and operational conditions

Autonomous path planning and search algorithms

Adaptive responses to the world environment

Sensor and data processing

Machine learning techniques

Ownership of the entire design-develop-test process for new use cases and capabilities

Debug, troubleshoot, and resolve issues in embedded environments, ensuring software meets high safety and performance standards

Maintain rigorous documentation and version control for safety-critical systems, supporting audits and compliance requirements

Qualification

C++PythonEmbedded systemsOptimization techniquesUAS experienceLinux environmentsDocker containerizationNvidia JetsonMachine learningDebuggingDocumentationProblem-solving

Required

Bachelor's or Masters degree in Engineering, Computer Science, or a related field

Minimum of 5 years of experience in aerospace autonomy or similar fields, with a focus on embedded software, planning and pathfinding algorithms, and mission critical systems

Proficiency in C++ and python for embedded systems

Proficiency in Linux environments and docker containerization

Experience with UAS use cases in commercial and defense applications

Experience in the development of autonomous software systems for real-world, operational environments, preferably aerospace or UAS

Strong understanding of optimization techniques, data structures, and design patterns, specifically within embedded and constrained environments

Experience with Nvidia Jetson processors or similar embedded computer platforms, including low-level interfacing with hardware systems. Experience with CUDA and accelerated computing a plus

High level of responsibility and ownership in solving complex problems in dynamic and high-stakes environments