Date Posted:2026-07-08
Country:United States of America
Location:US-CT-EAST HARTFORD-RTRC K ~ 411 Silver Ln ~ RTRC K
Position Role Type:Hybrid
U.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-120.62
Security Clearance Type: None/Not Required
Security Clearance Status: Not Required
Position Overview:RTX Technology Research Center (RTRC) has a newly created position of Research Scientist in Autonomous Collaborative Systems (ACS). In this role, you will join the ACS team under 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.
What You Will Do:- Designing and developing algorithms for perception, 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), 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.
- The ideal candidate will possess a strong foundation in AI and Autonomy, demonstrated by a track record of innovation through patents, contributions to research, and/or publications in prestigious venues. Relevant conferences include NeurIPS (Conference on Neural Information Processing Systems), CVPR (Computer Vision and Pattern Recognition Conference), ICRA (International Conference on Robotics and Automation), IROS (International Conference on Intelligent Robots and Systems), RSS (Robotics: Science and Systems), and AAAI (Association for the Advancement of Artificial Intelligence), among other leading research forums.
Qualifications You Must Have:- Typically requires a University Degree or equivalent experience and minimum 8 years prior relevant experience, or an Advanced Degree in a related field and minimum 5 years experience
- PhD Required
- 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 applying AI based perception and/or Reinforcement Learning techniques to solve real world problems
Qualifications We Prefer:- Experience using a modern software development environment including automated testing, continuous integration, and deployment, and "DevSecOps" environments.
- Experience setting technical direction from initiation to execution of projects and managing technical deliverables for a small team.
- Experience with PyTorch/TensorFlow, ROS, MATLAB; Real-time control prototyping and Software/Hardware-in-the-Loop testing
- Strong analytical, problem-solving, written/verbal communication, and interpersonal skills with track record of teamwork, adaptability, innovation, and initiative.
- Clear and effective communication with all levels of management, business development, researchers, and customers.
- Ability to work independently with limited direction and in multidisciplinary environment.
- Languages/Frameworks: Python, C++; cloud computing, and configuration management.
- Broad awareness of advancements in intelligent autonomous systems
Work LocationThis is a hybrid role, Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
