About the position
At Raytheon, 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. We bring 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. Our team solves tough, meaningful problems that create a safer, more secure world. In the Senior ML/Data Science Software Engineering role, you will design, develop, and test AI/ML, Java and Python code in a Linux, Agile, DevOps environment. We are at the forefront of aerospace and defense technology. Our Satellite Ground Systems Team plays a pivotal role in ensuring communication, surveillance, and defense capabilities through cutting-edge satellite systems. We invite you to be part of a team that pushes the boundaries of what's possible.
Responsibilities
- Design, develop, and maintain advanced software applications for our Satellite Ground Systems.
- Collaborate closely with systems engineers, hardware designers, and other software engineers to deliver reliable and high-performance software solutions.
- Design, implement, and test AI, ML, Java and Python based applications and software components for satellite ground systems.
- Work in parallel with legacy platform teams to eventually migrate workloads onto your pipelines.
- Collaborate with cross-functional teams to define software requirements and specifications.
- Work with previously written code and make modifications as necessary.
- Ensure software performance, reliability, and scalability.
- Participate in software design reviews, code reviews, and system integration activities.
- Contribute to the completion of program and project milestones under the specific guidance of their immediate supervisor.
- Follow established Software processes and procedures, development, documentation and maintenance/management of operations concepts, requirements (system, element, segment level), external and internal interfaces, and other software engineering work products/artifacts.
Requirements
- Active and transferable U.S. government issued TS/SCI security clearance is required prior to start date.
- U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.
- Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and five (5) years of Software Engineering experience.
- Experience in object-oriented software design and development using Java or Python in a Linux environment.
- Experience with unit testing tools (e.g., JUnit).
- Experience in Machine Learning and Data Science.
- Experience working with large datasets and performing data analysis.
Nice-to-haves
- Strong analytical skills and proactive problem-solving abilities, with a deep understanding of AI/ML technologies, cloud architecture, and enterprise software.
- Security+ certification.
- Experience with Git, Jenkins, Docker, Kubernetes.
- Experience with the Atlassian Tool Suite (e.g. JIRA, Confluence, BitBucket).
- Experience with cloud computing platform (e.g. AWS or Azure).
- Experience with satellite communication systems and protocols is highly preferred.
- Familiarity with secure coding practices, especially in a defense or aerospace setting.
Benefits
- Parental (including paternal) leave
- Flexible work schedules
- Achievement awards
- Educational assistance
- Child/adult backup care
- Medical, dental, vision, life insurance
- Short-term disability, long-term disability
- 401(k) match
- Flexible spending accounts
- Employee assistance program
- Employee Scholar Program
- Paid time off and holidays
