Date Posted:

2024-08-05

Country:

United States of America

Location:

RC1: United Tech Research Center 411 Silver Lane, East Hartford, CT, 06108 USA

Position Role Type:

Hybrid

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.    

To realize our full potential, RTX is committed to creating a company where all employees are respected, valued and supported in the pursuit of their goals. We know companies that embrace diversity in all its forms not only deliver stronger business results, but also become a force for good, fueling stronger business performance and greater opportunity for employees, partners, investors and communities to succeed.  

The following position is to join our RTX Corporate, Enterprise Services, Research Center or BBN team: 

Position Overview:

We are looking for a highly motivated candidate with experience in Human Factors, Human Machine Interface, and Human-centered AI for contributing to realizing a vision of intelligent systems collaborating with humans in the manufacturing, assembly, servicing, inspection, and repair of products, human-autonomy teaming, and robot learning.

What You Will Do

Aid in developing and executing a research agenda in areas of Human-Machine Interaction. Provide Human Machine Interaction subject matter expertise and collaborate with staff across disciplines to conceive and pursue research opportunities in new and exciting technical areas and domains.Develop work-support solutions that build on principles of human perception, cognition, and decision making addressing our customer’s needs.Coordinate and oversee the work of other researchers, designers, and software engineers to implement and evaluate solution concepts as part of a user-centered design process.Build relationships to support partnership with leading, worldwide institutions (university, government agencies, national labs, and professional organizations) and meet organizational objectives. Study, model, and understand diverse customer needs in complex systems.Lead and contribute to externally and internally sponsored programs, writing external and internal research proposals, technical reports, and research publications.

Qualifications You Must Have

10+ years of hands-on experience in domains related to human state assessment, performance optimization, physiological event detection, health and wellness, and medical diagnostics. Projects will range across multimodal physiological and neurophysiological sensor processing, and human brain imaging.10+ years experience investigating and developing Human-centered AI including human-AI trust, human-AI symbiosis, reinforcement learning from human feedback , imitation learning, and other related disciplines.10+ years experience working with/designing Augmented and/or Virtual reality technologies and evaluating such technologies for use.Experience working with DARPA, AFRL, ONR, ARL and/or IARPA or other related government organizations. Strong written and verbal skills, with prior experience in proposal writing, customer interaction, and presentation at technical conferences. Proven record of capturing and leading research and development contracts or grants as a Principal Investigator, Technical Lead, Chief Engineer, or Program Manager.Domain experience in areas related to autonomous systems, intelligence analysis or tactical aviation, intelligent autonomous systems for defense and aerospace applications.Human subjects research program design, implementation, and completion.Ability to pursue novel applications of technologies to address challenging real-world problems, including establishing new areas of research.Knowledge of state-of-the art machine learning algorithms and autonomy systems.U.S. Citizenship or Permanent Resident (Green Card) status is required.U.S. Person (U.S. citizen, permanent resident, refugee or asylee) or eligible to obtain necessary export authorizations required.Typically requires a university degree or equivalent experience and minimum 10 years prior relevant experience or an advanced degree in a related field and minimum 7 years experience.

Qualifications We Prefer

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 focus on results in a fast-paced, dynamic team environment.Ability to work independently with limited direction and in multidisciplinary environment.Ability to approach open-ended tough problems as an opportunity to innovate.Familiarity with machine learning techniques and software (e.g., scikit learn, PyTorch, TensorFlow, Keras)Proficiency in at least one of the following data science software tools: pandas, scikit-learn, PyTorch/TensorFlowClearance

What We Offer

Robust total rewards package with compensation;Healthcare, Wellness, RetirementWork/Life BenefitsCareer Development and Recognition ProgramsParental (including paternal) leaveFlexible Work SchedulesAchievement AwardsEducational AssistanceChild/Adult backup Care+many other great benefits

Learn More & Apply Now!

#reempowerprogram

This role is also eligible for the Re-Empower Program. The Re-Empower Program helps support talented and committed professionals as they rebuild their capabilities, enhance leadership skills, and continue their professional journey. Over the course of the 14-week program, experienced professionals will gain paid, on-the-job experience, have an opportunity to participate in sessions with leadership, develop personalized plans for success and receive coaching to guide their return-to-work experience. Upon completion of the program, based on performance and contributions participants will be eligible for a career at RTX.

Minimum Program Qualifications

To qualify for the RTX Re-Empower Program, candidates should:

Be on a career break of one or more year at time of applicationHave prior experience in functional area of interestHave interest in returning in either a full-time or part-time position

The salary range for this role is 118,000 USD - 246,000 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/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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