Research Scientist - Autonomous Collaborative Systems
Company: RTX
Location: East Hartford
Posted on: April 1, 2026
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Job Description:
Date Posted: 2026-03-26 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 RTX 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. 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 Location This
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. What We
Offer: Whether you’re just starting out on your career journey or
are an experienced professional, we offer a robust total rewards
package with compensation; healthcare, wellness, retirement and
work/life benefits; career development and recognition programs.
Some of the benefits we offer include parental (including paternal)
leave, flexible work schedules, achievement awards, educational
assistance and child/adult backup care. 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. 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. Privacy Policy and Terms:
Click on this link to read the Policy and Terms
Keywords: RTX, Somerville , Research Scientist - Autonomous Collaborative Systems, Engineering , East Hartford, Massachusetts
