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# Principal Embedded Software & Target Tracking Engineer (US Citizen / Remote)

- **Company:** Virtual, Inc.
- **Location:** Arlington, VA, United States (Remote available)
- **Salary:** $176,800 - $197,600
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Ubuntu (Operating System), Data Control, Data Fusion, Linux, Embedded Software, Python (Programming Language), Linux Servers, Parsing, Sensor Fusion, Software Engineering, Git, Code Restructuring
- **Published:** November 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1266960a8bad6360

## About the Role

* Citizenship: Verified U.S. Citizenship is strictly required for ITAR compliance.
 * Security Clearance: Active Top Secret / SCI (TS/SCI) clearance baseline strongly preferred and immediately portable.
 * Mathematical Expertise: Deep, hands-on experience developing and refactoring Extended Kalman Filters (EKF) and non-linear state estimation loops.
 * Algorithmic Proficiency: Verifiable history tracking multi-static sensor processing frameworks, data fusion loops, and Mahalanobis Distance innovation tracking.
 * Development Hygiene: Expert mastery of Linux/Ubuntu environments, Git configuration tracking, and building secure, isolated python-based tracking software modules.

## Description

Virtual Parse Technologies, LLC is an advanced defense technology small business prime contractor specializing in digital signal processing, distributed sensor fusion, and secure software architectures. We are seeking a Principal Embedded Software & Target Tracking Engineer to take direct technical custody of our multi-node target tracking architectures and simulation environments.In this role, you will autonomously model, refactor, and deploy low-latency tracking algorithms directly inside isolated, security-hardened Linux server environments. You will be responsible for moving algorithmic frameworks from conceptual architectures to production-ready software without requiring hands-on oversight., * Refactor, optimize, and maintain complex Python and C/C++ target tracking loop simulations and data fusion engines.

 * Resolve spatial diversity bottlenecks and track divergence challenges in high-clutter environments.
 * Implement robust state estimation models, innovation gating parameters, and spatial localization architectures.
 * Conduct all software development exclusively within secure, sandboxed remote server environments adhering to strict data control protocols.