Research Engineer, Intelligent Autonomous Systems
RTXAbout the role
Date Posted:
2025-10-07Country:
United States of AmericaLocation:
UT13: RC-CT - Corp 411 Silver Lane, East Hartford, CT, 06108 USAPosition Role Type:
HybridU.S. Citizen, U.S. Person, or Immigration Status Requirements:
This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of “U.S. Person” go here. https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62Security Clearance:
None/Not RequiredRTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.
The following position is to join our RTX Corporate, Enterprise Services, Research Center or BBN team:
RTX Technology Research Center (RTRC) has a newly created position of Research Engineer in Intelligent Autonomous Systems. In this role, you will join the Autonomous Collaborative Systems (ACS) team in the Artificial Intelligence (AI) discipline at RTRC. The team is engaged in a wide variety of research areas including computer vision, decision making, trustworthy and explainable AI and human-machine symbiosis for a variety of high impact real world problems in the aerospace, manufacturing, and defense industries. Examples of relevant problems include multi-agent coordination, self-functioning systems of systems, cybersecurity, automated visual inspection of parts, and robotic perception and manipulation.
We are looking for a highly motivated candidate eager to apply and extend state of the art Artificial Intelligence approaches for contributing to realizing a vision of intelligent systems collaborating with humans in the manufacturing, assembly, servicing, inspection, repair, and system intelligence. In addition work on autonomy enabling autonomous capabilities including sensing & perception, task & motion planning, reasoning & decision making, human-autonomy teaming, and robot learning.
What you will do:
Designing and developing algorithms for intelligent control and decision-making, human-machine collaboration, networked and teamed systems, and next generation autonomous platforms.
Prototyping and simulating autonomous systems by writing code, developing software (simulation and visualization), creating algorithms, interfacing software/hardware, and supporting real-time demonstrations of autonomy in live, virtual, and simulation test environments.
Leading and supporting externally and internally sponsored programs, writing external and internal research proposals.
Building relationships to support partnership with leading, worldwide institutions (university, government agencies, national labs, and professional organizations) and meet organizational objectives.
Disseminating research results through reports, conference proceedings, presentations, and technical papers for archival journals.
Qualifications You Must Have:
Required: Ph.D. in Aerospace, Electrical, or Mechanical Engineering, Computer Science, Mathematics, or a related field.
5+ years of hands-on experience in working with autonomous systems, artificial intelligence, deep/reinforcement/machine learning, robotics, dynamics and controls, flight test and evaluation, modeling & simulation, data science, and statistical analysis.
Experience in developing in a modern software development environment that includes automated testing, continuous integration, and deployment, and "DevSecOps" environments.
Knowledge in the area of intelligent autonomous systems for defense and aerospace applications.
Programming languages (Python, C, C++, ROS), cloud computing, and configuration management.
U.S. Person (U.S. citizen, permanent resident, refugee or asylee) or eligible to obtain necessary export authorizations required.
Qualifications We Prefer
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