AI Assurance Research Engineer - Military Veterans

Date Posted:

2024-12-17

Country:

United States of America

Location:

UT13: RC-CT - Corp 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 Technology 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 an AI Assurance 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 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.

Role Overview

• 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.

• 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.

Required Qualifications

• PhD in Computer Science, Engineering, Mathematics or a related field.

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

• Experience in any of the following: AI assurance, model-based design, logic, assurance cases, source-code verification.

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

• Experience with AI technologies.

Preferred Qualifications:

• 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 with high-assurance programming language such as SPARK Ada.

• Experience with model-checking tools such as Z3 and NuSMV.

• Experience with theorem provers such as PVS, Coq.

• Experience working with DOD and other govt. agencies.

• Experience with source-code verification, formal specification techniques, assurance arguments.

• Experience with aerospace certification standards.

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.

Learn More & Apply Now!

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.

Work Location

This is a hybrid role, eligible candidates must reside within commuting distance from East Hartford, CT.
Relocation Eligible: Yes
 

Please consider the following role type definition as you apply for this role:
Hybrid: 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.

Work Shift

1st Shift (United States of America)

Scheduled Weekly Hours

40

Worker Sub-Type

Regular

Time Type

Full Time

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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