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Job ID: 2613676
Location: San Antonio, TX, US
Date Posted: 2026-06-15
Category: Software
Subcategory: SW Engineer
Schedule: Full-Time
Shift: Day Job
Travel: Yes - 10% of the time
Minimum Clearance Required: Secret
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: ORA_ON_SITE
Description
SAIC is seeking a Junior Software Engineer to support our TenCAP Hope program; this position is an onsite position based out of Randolph AFB in San Antonio, TX.
(This is a fully onsite position - we are seeking local candidates to the San Antonio/Randolph location).
Role Overview:
As a Software Engineer at SAIC, you will play a crucial role in designing, implementing, and testing proof of concepts for improving flight training platforms. You will collaborate closely with a multidisciplinary team of engineers, pilots, and instructional designers to create an immersive and interactive training experience that meets the highest standards of realism and effectiveness.
Key Responsibilities:
Qualifications
Bachelor's and 0 yrs experience or relevant yrs of experience in lieu of degree.
Must be able to obtain a Security+ or another DoD 8140 compliant certification within 6 months of employment.
Solid understanding of software development principles, algorithms, and data structures.
Proficiency in TypeScript, NodeJS, Python, with experience in developing software applications or simulations.
Experience with application development for macOS and iOS platforms using Xcode and Swift.
Familiarity with real-time communication protocols (e.g., WebRTC, RTP/RTCP) and network programming concepts.
Experience with 3D graphics programming (Unreal Engine) and virtual reality (VR) technologies is a plus.
Strong problem-solving skills and the ability to work independently as well as part of a collaborative team.
Excellent communication skills and the ability to effectively convey complex technical concepts to non-technical stakeholders.
Passion for aviation and a keen interest in flight simulation training and virtual instruction methodologies.
US Citizen.
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