Research Engineer: Systems Engineering and Software Development

About the Position

The primary purpose of the position is to perform systems engineering activities to support digital engineering and digital transformation activities with Model-based Systems Engineering. Please note, this is not a 100% remote/virtual position, but is telework friendly. Depending upon your department/office, you may have the ability to telework 1–3 days per week.

Responsibilities

• Part of a multidisciplinary team developing a next-generation Digital Engineering prototype system.
• Develops and integrates operational ontologies, mathematical algorithms, dynamic and control algorithms, and advanced systems engineering approaches in support of digital engineering and digital transformation.
• Collaboratively completes project tasks; formulates system design, develops and integrates code, tests, and documents system implementation/software code.
• Refines technical requirements, develops prototypes, and performs system-level analysis.
• Works within a small team of developers and engineers to design and implement deployable code.
• Assists in the packaging and delivery of systems engineering and software products to clients.
• Performs other duties as assigned.

Required Qualifications

• Bachelor’s degree in a related field, or equivalent combination of education and experience.
• Experience building software applications with a focus on Systems Engineering tools.
• Proficiency in systems engineering, mechanical engineering, electrical engineering, and/or computer science (or equivalent experience).
• Proficiency in mathematical algorithms and coding.
• Ability to work collaboratively as part of a multidisciplinary team.
• U.S. citizenship due to the nature of sponsor funding.

Preferred Qualifications

• Master’s degree in a related technical field.
• Previous work experience with vehicle systems, knowledge of military systems, and experience with SysML, MATLAB, Python, ROS2, Isaac SIM, WindChill, and/or Omniverse.
• Experience with performance optimization, system sensitivity, and trade-off analysis.
• Experience with ontologies and mathematical algorithms.