Research Engineer, Intelligent Autonomous Systems

Date Posted:

Country:

United States of America

Location:

UT13: RC-CT - Corp 411 Silver Lane East Hartford CT 06108 USA

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. Clearance: None/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 185000 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 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 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:

• The preferred candidate will have a strong understanding of science and engineering principles and a record of innovation as evidenced by patent applications contribution to government funded basic research programs and/or high-quality journal and conference publications (i.e. AAAI Conference on Artificial Intelligence International Conference on Learning Representations (ICLR) Computer Vision and Pattern Recognition Conference (CVPR) Conference on Neural Information Processing Systems (NeurIPS) IEEE International Conference on Robot and human Interactive Communication (RO-MAN) ACM/IEEE International Conference on Human-Robot Interaction (HRI) Robotics: Science and Systems (RSS) IEEE Transactions on Human-Machine Systems or other top tier research venues).

• Experience setting technical direction from initiation to execution of projects and managing technical deliverables for a small team.

• Programming: PyTorch/TensorFlow Julia Java; Real-time control prototyping and Software/Hardware-in-the-Loop testing

Location: This position is Onsite in East Hartford CT

What We Offer:

Whether youre 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 attendselect 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 101000 USD - 203000 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 candidates 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 companys 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.

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