Job Description
WORK LOCATION: Remote, USA
FLSA STATUS: Exempt
SALARY RANGE: The anticipated salary range for this role is $140,000 to $170,000 annually. This range reflects a good faith estimate based on the targeted level for the role and typical compensation benchmarks across U.S. locations. Actual compensation may vary depending on the selected candidate’s qualifications, experience, geographical location, and internal alignment.
SUMMARY
Edge Autonomy is seeking an experienced Autonomy/AI software engineer with a strong background in implementing optimization algorithms in embedded environments, software applications in safety-critical systems, and a mastery of C#/C++ programming. This role will develop and expand the capabilities of the UAS platform using advanced algorithms and techniques to ensure mission success and safety of the system. In this position you will adopt full ownership of a use case for UAS and develop autonomous capabilities to achieve it. The solutions developed in this role will be deployed on operational aircraft engaged in global missions, requiring robust, reliable, and safety-focused software development.
RESPONSIBILITIES
The following job functions are a basic requirement but are not limited to and may be assigned other duties.
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.
REQUIRED QUALIFICATIONS
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.
PREFERRED QUALIFICATIONS
Experience supporting flight test
Communications standards such as STANAG, DDS, and Kafka
Experience with computer vision and real-time object detection
Understanding of UAS architectures and subsystems
Understanding of flight-critical and mission-critical software requirements
Understanding of Flight Behavior and Aircraft Performance
EDGE AUTONOMY BENEFITS
Matching 401(k)
Paid PTO
Paid holidays
Medical, vision, and dental insurance
Group Short-Term & Long-Term Disability
HSA and FSA Options
Critical Care Plan
Accident Care Plan
CLEARANCE REQUIREMENTS
This position may require access to information that is subject to compliance with the International Traffic Arms Regulations (“ITAR”) and/or the Export Administration Regulations (“EAR”). To comply with the requirements of the ITAR and/or the EAR, applicants will be asked to provide specific documentation to verify a US person’s status under the ITAR and the EAR.
WORK ENVIRONMENT AND PHYSICAL REQUIREMENTS
The work environment may involve a standard office setting while also incorporating elements of a production area. Employees will use standard office equipment, including computers, and must demonstrate stamina to sit or stand while maintaining attention to detail despite potential interruptions. The role may require occasional activities such as walking, climbing, stooping, crouching, and bending. Vision is necessary for reading printed materials and a computer screen, while hearing and speech are essential for effective communication both in person and over the telephone. Additionally, the position may necessitate travel by air or automobile. Employees may be required to use personal protective equipment, including safety glasses, safety shoes, and shop coats, to ensure safety in the production environment. Employees may be able to lift up to 30 pounds as needed.
EDGE AUTONOMY IS AN EQUAL OPPORTUNITY EMPLOYER
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, ****** orientation, gender identity, national origin, veteran status, or genetic information. Edge Autonomy is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact Human Resources. Continued employment remains on an “At-Will” basis.
FLSA STATUS: Exempt
SALARY RANGE: The anticipated salary range for this role is $140,000 to $170,000 annually. This range reflects a good faith estimate based on the targeted level for the role and typical compensation benchmarks across U.S. locations. Actual compensation may vary depending on the selected candidate’s qualifications, experience, geographical location, and internal alignment.
SUMMARY
Edge Autonomy is seeking an experienced Autonomy/AI software engineer with a strong background in implementing optimization algorithms in embedded environments, software applications in safety-critical systems, and a mastery of C#/C++ programming. This role will develop and expand the capabilities of the UAS platform using advanced algorithms and techniques to ensure mission success and safety of the system. In this position you will adopt full ownership of a use case for UAS and develop autonomous capabilities to achieve it. The solutions developed in this role will be deployed on operational aircraft engaged in global missions, requiring robust, reliable, and safety-focused software development.
RESPONSIBILITIES
The following job functions are a basic requirement but are not limited to and may be assigned other duties.
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.
REQUIRED QUALIFICATIONS
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.
PREFERRED QUALIFICATIONS
Experience supporting flight test
Communications standards such as STANAG, DDS, and Kafka
Experience with computer vision and real-time object detection
Understanding of UAS architectures and subsystems
Understanding of flight-critical and mission-critical software requirements
Understanding of Flight Behavior and Aircraft Performance
EDGE AUTONOMY BENEFITS
Matching 401(k)
Paid PTO
Paid holidays
Medical, vision, and dental insurance
Group Short-Term & Long-Term Disability
HSA and FSA Options
Critical Care Plan
Accident Care Plan
CLEARANCE REQUIREMENTS
This position may require access to information that is subject to compliance with the International Traffic Arms Regulations (“ITAR”) and/or the Export Administration Regulations (“EAR”). To comply with the requirements of the ITAR and/or the EAR, applicants will be asked to provide specific documentation to verify a US person’s status under the ITAR and the EAR.
WORK ENVIRONMENT AND PHYSICAL REQUIREMENTS
The work environment may involve a standard office setting while also incorporating elements of a production area. Employees will use standard office equipment, including computers, and must demonstrate stamina to sit or stand while maintaining attention to detail despite potential interruptions. The role may require occasional activities such as walking, climbing, stooping, crouching, and bending. Vision is necessary for reading printed materials and a computer screen, while hearing and speech are essential for effective communication both in person and over the telephone. Additionally, the position may necessitate travel by air or automobile. Employees may be required to use personal protective equipment, including safety glasses, safety shoes, and shop coats, to ensure safety in the production environment. Employees may be able to lift up to 30 pounds as needed.
EDGE AUTONOMY IS AN EQUAL OPPORTUNITY EMPLOYER
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, ****** orientation, gender identity, national origin, veteran status, or genetic information. Edge Autonomy is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact Human Resources. Continued employment remains on an “At-Will” basis.
💡 Quick Summary
Seeking a career-building opportunity? The Autonomy Applications Engineer position is now open for candidates interested in the Work from home Jobs sector. This role in Huntsville offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.
