Software Engineer- Associate

About the position

At SAIC, we are at the forefront of technological innovation in supporting the Navy's operational, strategic, and fleet readiness. We are committed to solving complex challenges and advancing the state of the art in Maritime Positioning, Navigation, and Timing (M-PNT) systems. Join us as we continue to define the future of the Navy's warfighter, delivering unparalleled solutions that make the world more connected, secure, and efficient. We are seeking a highly motivated and analytical Computer Engineer Associate to join our dynamic team. As a crucial part of our research and development efforts, you will design, develop, implement, verify, and test cutting-edge hardware, algorithms, and simulation tools. Your role will focus on enhancing the precision and reliability of our navigation, guidance, and control functions across various platforms and environments. Work is performed on site in Norfolk, VA and Virginia Beach, VA. This position is contingent upon award news Spring of 2026.

Responsibilities

• Design and development of algorithms for statistical processing of navigational data to determine the position, orientation, and kinetic changes of targets.
• Implement software and simulation tools for guidance functions, including deriving specific equations to attain desired positions, orientations, or orbits.
• Develop control systems, including algorithm design and analysis, aligned with hardware and software specifications.
• Collaborate with interdisciplinary teams to verify and test the Maritime Position, Navigation, and Timing (M-PNT) systems both in simulations and field-testing scenarios.
• Contribute to the preparation of documentation for system designs, development processes, and field-test procedures.
• Engage in continuous learning to stay current with industry trends and advancements in Maritime Positioning, Navigation, and Timing (M-PNT) technology.

Requirements

• Bachelor's level degree in Computer, Electrical or Electronics Engineering or Mathematics with field of concentration in computer science.
• 0-2 years professional experience required; however, relevant academic projects or internships are beneficial.
• Demonstrated ability to develop and implement complex algorithms.
• Proficiency in one or more programming languages commonly used in scientific computing, such as Python, C++, or MATLAB.
• Knowledge of simulation and modeling tools is a plus.
• Demonstrated problem-solving skills and attention to detail.
• Ability to work both independently and collaboratively in a team-oriented environment.
• Strong communication and documentation skills.

Benefits

• A culture of innovation, where your ideas and contributions are valued and make an impact.
• Hands-on experience with state-of-the-art technology and field-testing opportunities.
• A supportive environment that fosters professional growth and development.
• Competitive salary and benefits package.