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Engineer I, Software - Perception - New Grad - 6135

Shieldai · Washington, D.C.

onsitejunior$77,200–$211,200Posted Oct 27, 2026C++computer visionAI/MLsensor fusionobject detectiontrackinglocalization

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About this role

## Shield AI — Engineer I, Software (Perception) — New Grad **About the team** Shield AI is a venture-backed defense-tech company focused on protecting service members and civilians with intelligent systems. The HMS Perception team builds software that helps autonomous systems understand the world using sensor data, computer vision, tracking, sensor fusion, and AI/ML—moving from data and algorithms through simulation, lab testing, and fielded systems. **Role overview (New Grad / Entry-Level)** As an entry-level engineer, you’ll develop and validate well-defined perception features, tools, or tests alongside experienced engineers. This full-time role builds on coursework or internship experience, with regular guidance as you complete assigned changes and document results (rather than owning a perception subsystem end-to-end). ### What you’ll do - Implement small, well-defined **C++** changes to perception software, data processing, evaluation tools, or tests - Analyze **camera, EO/IR, radar, IMU, GPS,** or simulated sensor data using established workflows - Run tests and repeatable experiments; investigate data-quality and software failures with guidance - Support **object detection, tracking, sensor fusion, localization,** or multimodal AI/ML evaluation as assigned - Document assumptions, metrics, results, and reproducible setup steps; participate in code and design reviews - Collaborate with perception, autonomy, platform, simulation, and test engineers **Location / Type** - **Paid, in-person, full-time** position **Hiring timeline** - Seeking **Autonomous Software Engineers** for full-time roles starting in **2027** - Positions are for students graduating during the **2026–2027** academic year - Applications are currently being reviewed for roles starting after graduation in **2027** For more information: https://www.shield.ai

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