Research Scientist - Autonomous Collaborative Systems

Location US-CT-EAST HARTFORD-RTRC K ~ 411 Silver Ln ~ RTRC K 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 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 Design and develop algorithms for perception, decision‑making, human‑machine collaboration, networked and teamed systems, and next‑generation autonomous platforms. Prototype and simulate 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. Lead and support externally and internally sponsored programs, writing external and internal research proposals. Build relationships to support partnership with leading, worldwide institutions (universities, government agencies, national labs, and professional organizations) and meet organizational objectives. Disseminate research results through reports, conference proceedings, presentations, and technical papers for archival journals. 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 such as NeurIPS, CVPR, ICRA, IROS, RSS, and AAAI. Qualifications You Must Have Typically requires a university degree or equivalent experience and a minimum of 8 years prior relevant experience, or an advanced degree in a related field and a minimum of 5 years experience. PhD required. Hands‑on experience 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 and verbal communication, and interpersonal skills with a 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 in a multidisciplinary environment. Experience with Python, C++; cloud computing, and configuration management. Broad awareness of advancements in intelligent autonomous systems. Work Location This is a hybrid role. Employees who are working in hybrid roles will work regularly both onsite and offsite. The ratio of time worked onsite will be determined in partnership with your leader. 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 medical, dental, vision, life insurance, short‑term and 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 on 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 on a variety of factors including individual performance, business unit performance, and/or the company’s performance. 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. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified individuals with a disability and protected veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act. #J-18808-Ljbffr RTX