As a team member in the Airborne Kill Chain AI/ML Section, you will join a high-performing team of engineers working with high-fidelity missile simulations to construct decision support systems used by the warfighter.
We are currently recruiting a Senior Simulation Analysis Engineer for an onsite role in Tucson, AZ
What You Will Do
Support the design, development, and/or utilization of high-fidelity digital simulation software in advanced technical computing environments.
Contribute to trade studies to assess system performance of weapons against a variety of threats in a variety of kill chain scenarios.
Contribute your knowledge of performance engineering practices, and procedures, to evaluate work across a wide range of intriguing computational problems to answer questions such as: what should be the next system improvement; or what is the effectivity of the missile against a single or multiple threats; or what counter measures should be considered to increase effectivity and/or survivability and other operational performance related questions.
Collaborate in a team environment, receiving input from the program, external customers, or team experts, and work on varied projects, as you determine, develop, and implement analytic approaches that will generate the supporting data to inform programmatic decisions.
Participate in the development and implementation of model-based solutions to power decision support systems, and participate in validation and testing models, software components and/or integrated systems.
Occasional travel as needed to support the customer/ Program. (<10% travel)
Qualifications You Must Have
Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of five years of prior relevant experience unless prohibited by local laws/regulations.
Experience with MATLAB or Python
Experience in at least two of the following
Systems engineering life cycle
Software development and/or object-oriented design using C/C++ and/or Java.
Artificial Intelligence (AI), Machine Learning (ML) and/or Surrogate Modeling
Computation on high-performance computing (HPC)
Qualifications We Prefer
Advanced Degree in one of the following majors: Systems Engineering, Software Engineering, Operations Research, Electrical Engineering, Applied Mathematics, Industrial Engineering, Physics, or Aerospace Engineering.
Active Top Secret DoD clearance.
Experience in data analysis and statistics with large volumes of data.
Experience with AFSIM or other Simulation Modeling development, and/or analysis.
Experience conducting analyses and studies, including how to define and execute a study.
Strong written and verbal communication with peers, management, IT support, and customers
What We Offer
Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.
Relocation Eligible – relocation assistance available for this position
Learn More & Apply Now!
Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.
Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: https://www.state.gov/m/ds/clearances/c10978.htm #LI-RH2
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 86,800 USD - 165,200 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
