
location_onTaylor Street, Fort Wayne, Allen County, Indiana, 46802, United States
At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose to solve the world's most complex problems. With three market-leading businesses and world-class operations, we offer capabilities and opportunities that no one else can. Together, we push the boundaries of known science to connect and protect our world.
Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. The foundation of everything we do is rooted in our values and a higher calling: to help our nation and allies defend freedoms and deter aggression.
Our Software organization develops applications focused on providing cutting-edge capabilities to solve our customers' toughest challenges. Our precision software and firmware integrate operating systems, device drivers, networking, and control software to bring together sensor, guidance, and flight control processing features to complete the mission. The Software org is made up of several Centers located across the country, responsible for all aspects of the software development lifecycle. Our 4,000+ software engineers design, develop, and build innovative solutions for our customers.
We are looking for a skilled Software Engineer with embedded development experience to join our Space and RF Sensors team at Raytheon in Fort Wayne, IN. As a member of the team, you will work with cutting-edge technology and contribute to programs that safeguard lives and uphold the freedoms we cherish.
You will join a fast-paced agile team on the leading edge of technology. At Raytheon, our exceptional engineers are empowered to achieve excellence and inspired to innovate, all within an inclusive environment that values work-life balance as a core principle, not just a catchphrase. This role offers the opportunity to invest in Generative AI and Machine Learning solutions to support solving the toughest challenges in aerospace and defense.
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. 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.
Please ensure the role type defined below is appropriate for your needs before applying. This position is classified as Onsite, meaning employees will work primarily onsite as they are essential to the development of our products. U.S. citizenship is required, as only U.S. citizens are eligible for the required DoD Secret security clearance, which must be active and existing after day one.
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. We are 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.
Work model: On-site
Taylor Street, Fort Wayne, Allen County, Indiana, 46802, United States
Fort Wayne, Indiana
Experience with Linux and/or real-time embedded systems such as vxWorks or Integrity. Knowledge of DevSecOps practices, including CI/CD pipelines such as GitLab and secure software development methodologies. Experience with unit test frameworks such as gTest/gMock. Experience leveraging Generative AI and Machine Learning to improve productivity, collaboration, and performance. Familiarity with gRPC and Protobufs. Familiarity with Open Systems Architectures and modular design principles. Understanding of cybersecurity principles and secure coding practices. Active U.S. government security clearance.
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Skills: C++, Java, Python, Object-Oriented Design, Git, Linux, Vxworks, Integrity, Devsecops, Gitlab.
Education: Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or related field; Master's degree with 0-2 years of experience.