The Software and Ground Solutions group at BAE Systems Inc Space and Mission Systems is looking to expand our team with a talented and energetic software engineer to join our Radar Algorithms team. The successful candidate will have a strong foundation in software engineering, modeling, and simulation, with experience in RF systems. The engineer will work closely with cross-functional teams to develop and deploy simulation-based solutions that drive business growth and innovation. As a key member of our engineering team, the engineer will be responsible for designing, developing, and testing software applications that support radar systems.

The Engineering, Science and Analysis (ESA) Strategic Capabilities Unit comprises the technical talent and organizational leadership that enables the successful delivery of high-impact discriminating technologies for our customers’ missions. Our collaborative, cross-functional teams are committed to innovation, integrity, continual learning and strong execution.

What You’ll Do:

• Convert Algorithm Description Documents (ADDs) into C++ software code for radar systems.
• Develop and test software applications for radar tool chains and algorithms.
• Collaborate with engineers and researchers to integrate radar systems with experimental data and analytical tools.
• Analyze and optimize radar system performance, ensuring scalability and reliability.
• Work with stakeholders to identify and prioritize project requirements, and develop solutions that meet business needs.
• Participate in code reviews, ensuring adherence to coding standards and best practices.
• Maintain a regular and predictable work schedule.
• Establish and maintain effective working relationships within the department, the Strategic Business Units, Strategic Capabilities Units and the Company. Interact appropriately with others in order to maintain a positive and productive work environment.
• Perform other duties as necessary.

On-Site Work Environment: This position requires regular in-person engagement by working on-site five days each normally scheduled week in the primary work location. Travel and local commute between company campuses and other possible non-company locations may be required.

Working Conditions:

• Work is performed in an office, laboratory, production floor, or cleanroom, outdoors or remote research environment.
• May occasionally work in production work centers where use of protective equipment and gear is required.
• May access other facilities in various weather conditions.

• BS degree or higher in Engineering or a related technical field is required plus 4 or more years related experience
• Each higher-level degree, i.e., Master’s Degree or Ph.D., may substitute for two years of experience. Related technical experience may be considered in lieu of education. Degree must be from a university, college, or school which is accredited by an agency recognized by the US Secretary of Education, US Department of Education.
• A current, active Secret clearance is required, with the ability to obtain and maintain a TS/SCI security clearance.
• Proficiency in programming languages such as C/C++, Python or Matlab.
• Containerization (Docker, Kubernetes, ContainerD).
• Experience in designing, developing, and testing software for simulations using programming languages such as C, C++.
• Experience in developing test, simulation, or data processing applications in high-level languages such as Python, Ruby, or MATLAB.
• Experience with object-oriented design.
• Strong understanding of numerical methods, data structures, and algorithms.
• Experience with some tactical mission domain.
• Experience using Cameo or PlantUML for Design.
• Experience designing/developing an SDR.
• Experience designing/developing mission skills.
• Excellent problem-solving skills, with attention to detail and ability to work in a fast-paced environment.
• Excellent communication and collaboration skills, with ability to work effectively with cross-functional teams.

• DevSecOps.
• Understanding of high-speed network architectures.
• Understanding of GPU use for algorithm implementation.
• Testing frameworks (gtest, test-driven development, hardware-in-the-loop).
• Understanding of Cyber Security Controls for integrity and cyber resiliency.
• Knowledge in implementing secure communication protocols (IPSEC).
• Experience implementing encryption.
• A working knowledge of Agile lifecycles and activities in each phase.
• Experience with formal software development practices including the use of software configuration management, coding standards, and style guides.