Date Posted:

2024-08-02

Country:

United States of America

Location:

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

Position Role Type:

Unspecified

For more than 90 years the RTX Technology Research Center (RTRC) has operated as a multidisciplinary group of experts collaborating on groundbreaking innovations. Our team includes some of the world’s leading scientists, researchers and engineers working to anticipate the discoveries destined to change everything, and they transform that research into the solutions and products that help our businesses shape the future of aerospace and defense. Our unique talent, experience and resources allow us to deliver rapid responses to critical, time-sensitive challenges and develop breakthroughs for a safer, more connected world.

The following position is to join our RTX Research Center (RTRC) AI Systems Engineering team.

The AI Systems Engineering team researches and develops solutions using model-based system engineering, formal methods, planning, decision making, controls, machine learning, anomaly detection, computer vision, hardware-software co-design, and failure analysis techniques for a variety of high impact real world problems in the aerospace, manufacturing, and defense industries.

We are looking for a Principal Research Engineer for the AI Systems Engineering team with passion for making safe and secure AI-enabled systems. The focus of this position will be to identify challenges in the development of dependable AI-enabled systems and create system engineering solutions for them.

You will get to develop state-of-the-art AI Systems tools and apply them to real world applications at scale. You will interact with and learn from leading researchers on a variety of topics working at RTRC.

You will work with a small and focused team engaged in a wide variety of research topics related to AI Assurance, Modelling and Design of Systems, Advanced Reasoning, Verification and Certification.

You will get to work on challenging problems within the broad areas of AI/ML applications in aerospace and defense.

We are looking for people who will thrive in a dynamic work environment and enjoy working on hard, cutting edge applied research problems for both our Business Units and government funding agencies. This position is performed with minimal supervision and requires a candidate with effective communication skills, a strong commitment for action, and the ability to prioritize and advance multiple objectives.

What You Will Do:

The AI Systems Engineer will be responsible for one or more of the following activities:

Conduct applied research in the formal analysis, design, verification & validation (V&V), test & evaluation (T&E), assurance, and certification of intelligent and autonomous aerospace systems as well as development of complex formal design, analysis, synthesis, V&V, assurance, and T&E tools.

Design and prototype efficient AI systems consisting of hardware and software components.

Initiate, lead, and execute on funding opportunities in both internal and external R&D.

Keep abreast of the latest developments in the field by continuous learning and enthusiastically champion new ideas and new problem definitions.

Work effectively in a multidisciplinary team environment focused on innovation and be able to partner with leading research institutions (universities, government agencies, national labs, and professional organizations).

Demonstrate exceptional communication skills and ability to provide timely, accurate and detailed reports, presentations, and technical papers for archival journals.

Qualifications You Must Have:

B.S. in Electrical Engineering, Computer Science, or other STEM discipline and 8+ years of relevant work experience.

Analytical, project management, problem-solving, interpersonal, leadership skills.

Self-starter with willingness to take initiative, support strategic priorities, take ownership of delegated projects/initiatives and contribute to results, and ability to work with a minimum supervision.

Proficient in a combination of the following areas: AI assurance, automated reasoning, logic, programming languages, assurance cases, hardware-software co-design, optimization, and system dynamics & control.

Familiarity with model-based system engineering and software engineering.

Familiarity with formal analysis, verification tools and methodologies for cyber-physical systems including AI-enabled systems.

Familiarity with AI technologies.

Preferred Qualifications:

Ph.D. degree in Computer Science, Engineering, Mathematics, or related field with 5+ years of work experience.

Experience with security-focused programming languages such as Rust, WebAssembly.

Experience with numerical computational languages such as MATLAB, Julia, Python, etc.

Experience with one or more low-level implementation languages such as C and C++.

Experience working with DOD and other govt. agencies.

Experience in open-source software development.

Experience with multi-objective optimization techniques.

Experience with hardware description languages, high-level synthesis of hardware and software systems.

Experience with hardware-software co-design.

Experience with aerospace certification standards.

Location:

Position can be worked remotely.

Hybrid: Preferred location: East Hartford, CT.

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.

Requires advanced to expert knowledge of work area typically obtained through advanced education combined with experience.

May have broad knowledge of project management. Requires substantial knowledge of RTX projects, programs or systems in order to provide enhancements within job area.

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.

Engineering/Other Technical Positions: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience unless prohibited by local laws/regulations.

The salary range for this role is 96,000 USD - 200,000 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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