Junior Digital S/W Development Engineer

About the Role

Trinzic is a future independent company being created through the planned spin-off of KBR's Mission Technology Solutions business, expected in January 2027. Trinzic will launch as a global organization with more than 18,000 employees supporting customers worldwide.

KBR is seeking a Junior Digital S/W Development Engineer to join our team in El Segundo, CA. This role supports the US Space Force’s Space Systems Center (SSC) in acquiring state-of-the-art satellite communications systems. We are looking for technical individuals to work in a highly collaborative environment, using modern tools and methodologies to tackle the challenges of integrating complex space and ground communications systems.

Key Responsibilities

• Software development experience, including academic projects, internships, or co-op experience related to digital engineering applications.
• Proficiency in Python for development, data processing, and automation.
• Hands-on exposure to designing, developing, or prototyping applications through projects, labs, or internships.
• Exposure to MBSE, data processing, LLMs and AI, and/or digital tools development.
• Ability to assess model outputs for correctness, relevance, and potential bias, with guidance from senior team members.
• Introductory experience deploying applications or services using cloud platforms or containerized environments (Azure exposure preferred).
• Understanding of software development lifecycle (SDLC) fundamentals and collaborative development practices (e.g., Git, code reviews).

Requirements & Tech Stack

• Ability to obtain and maintain a Secret security clearance.
• Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline (or degree in progress).

Qualifications

• 1+ years software development experience (including academic projects, internships, or co-op experience related to digital engineering development).
• Experience or interest in basic LLM evaluation techniques, testing methodologies, or benchmarking concepts.
• Interest in or exposure to defense, government, or high-security technology environments.
• Awareness of responsible AI principles, including bias mitigation, explainability, and ethical AI practices.
• Master’s degree coursework or ongoing study in Computer Science, Software Engineering, or a related field (preferred).