Scientist, Software Engineer (Swarm/Drone Automation)
Melbourne, Floride; Nashville, Tennessee
Job ID 21048L3Harris se fait un devoir de recruter et de former des talents performants qui sont passionnés par ce qu’ils font. Nos employés sont liés par un engagement commun envers leur croissance professionnelle et la mission de nos clients. L3Harris offre un environnement inclusif et engageant conçu pour responsabiliser les employés et encourager un équilibre entre le travail et la vie personnelle. Notre culture repose sur l’importance que nous accordons à nos valeurs, notre dévouement envers nos collectivités et notre engagement envers l’excellence dans tout ce que nous faisons. L3Harris Technologies est l’entreprise perturbatrice de confiance dans l’industrie de la défense. Ayant toujours à l’esprit les besoins essentiels de nos clients, nos employés offrent des solutions technologiques de bout en bout reliant les domaines de l’espace, de l’air, de la terre, de la mer et des cyberdomaines, dans l’intérêt de la sécurité nationale.
Job Title: Scientist, Software Engineer (Swarm/Drone Automation)
Requisition Number: 21048
Job Location: Nashville, TN; Palm Bay, FL
Schedule: 9/80 REG
Clearance: Must Have the Ability to Obtain a Top Scret/TSI Clearance
Job Description:
The Swarm AI Engineer will be at the forefront of developing and implementing AI algorithms that enable coordinated behavior and autonomous decision-making in swarms of drones. The Engineer will work on cutting-edge projects that require innovative thinking and a deep understanding of AI, robotics and drone technologies. The ideal candidate will have a strong background in AI, machine learning and robotics, with specific experience in swarm intelligence and multi-agent systems.
Our Values are an integral part of who we are. We seek candidates who share our values:
- Integrity
- Excellence
- Accountability
- Respect
Essential Functions:
- Algorithm Development: Design and develop AI algorithms for swarm intelligence, enabling drones to communicate, collaborate and perform tasks autonomously in a coordinated manner.
- Simulation and Testing: Create and utilize simulation environments to test and validate swarm behaviors, ensuring robustness and efficiency before deployment in real-world scenarios.
- Real-Time Processing: Implement real-time data processing and decision-making algorithms to facilitate dynamic adaptation of the swarm to changing environments and mission requirements.
- System Integration: Integrate AI algorithms with drone hardware and software systems, ensuring seamless operation and communication within the swarm.
- Optimization: Optimize swarm algorithms for performance, scalability and energy efficiency, considering the constraints of onboard processing power and battery life.
- Collaboration: Work closely with cross-functional teams, including hardware engineers, software developers and field operators, to define requirements and deliver solutions that meet project goals.
- Research and Innovation: Stay current with the latest advancements in AI, swarm robotics and multi-agent systems and apply new techniques to enhance the capabilities of our drone swarms.
- Documentation: Maintain comprehensive documentation of algorithms, simulation results and system configurations for future reference and reproducibility.
- Field Testing: Conduct, together with our Ops teams, field tests and demonstrations to evaluate the performance of drone swarms in real-world conditions, making adjustments as necessary to improve functionality.
- Travels when required to support customer installation, demonstrations and general field support
Required Qualifications:
- Bachelor’s Degree and minimum 12 years of software experience.
- Graduate Degree and a minimum of 10 years of software experience.
- In lieu of a degree, minimum of 16 years of software experience.
- 3+ years of experience in AI, machine learning, robotics, with specific experience in swarm intelligence or mult-agent systems.
- Experience with Agile development principles.
Preferred Additional Skills:
- Knowledge of military standards and regulations.
- Familiarity with the US DoD ground vehicle requirements a plus.
- Proficiency in programming languages such as Python, as well as C++, Java or Rust.
- Experience with machine learning frameworks and libraries such as TensorFlow, TensorFlow Lite, TensorRT, PyTorch, PyTorch Mobile, or scikit-learn.
- Strong knowledge of swarm intelligence algorithms and multi-agent systems.
- Familiarity with robotics software frameworks such as ROS (Robot Operating System).
- Understanding of real-time operating systems (RTOS) and embedded systems.
- Experience with simulation tools like Gazebo, Webots, or custom simulation environments.
- Understanding of communication protocols and networking for drone-to-drone and drone-to-ground communication.
- Familiarity with edge computing platforms and hardware accelerators (e.g., NVIDIA Jetson, Google Coral, ARM Cortex), with focus on NVIDIA Jetson Orin.
- Experience in deploying and optimizing models for edge computing environments.
- Excellent analytical and problem-solving skills with the ability to design innovative solutions to complex problems.
- Strong verbal and written communication skills, with the ability to effectively collaborate with technical (software, AI, embedded systems, hardware) and non-technical stakeholders.
- High attention to detail and a commitment to ensuring the accuracy and quality of work.
- Ability to thrive in a fast-paced, dynamic environment and manage multiple projects simultaneously.
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