Skip to content

Senior Engineer, XBAT Simulation Infrastructure (TX/SD/Bos) (R4543)

Dallas, Texas
Full Time On-site

Summary

Job Description

The Software Integration & Operations (SIO) group turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline—deterministic simulation at cluster scale, HIL/VIL integration, CI/CD, automated testing, and release engineering. Our goal is simple: make AI fly—safely, repeatably, and fast.  
As a Senior Modeling & Simulation Engineer, you will be dedicated to Shield AI’s next-generation aircraft program, advancing our infrastructure to enable a streamlined simulation test pipeline. You’ll design, build, and scale the models and infrastructure needed to use Shield’s simulation platform for qualified software validation efforts. Your simulation infrastructure will enable developers to test faster, system engineers to evaluate performance earlier, and release engineers to ship with confidence. 

What You'll Do

  • Build and scale simulation frameworks for integrated testing of autonomy, GNC, and embedded systems in C++. 
  • Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release. 
  • Implement scenario simulation tooling and formal test infrastructure. 
  • Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios. 
  • Profile, optimize, and validate C++ codebases for performance, determinism, and fidelity. 
  • Perform verification & validation (V&V) analysis activities on model tools.
  • Contribute to architecture decisions that define the next generation of aircraft simulation tools within Shield AI. 
  • Mentor engineers and guide best practices in C++, simulation architecture, and performance engineering. 

Required Qualifications

  • BS or MS in Computer Science, Aerospace, Robotics, or related field. 
  • 5+ years of experience in software development, with emphasis on modern C++ (C++17 or later) and performance optimization. 
  • Proven experience developing or integrating simulation systems for robotics, aerospace, or autonomous systems. 
  • Strong grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management. 
  • Experience with DevOps-integrated simulation workflows, including CI/CD and automated hardware testing environments. 

Preferred Qualifications

  • Understanding of rigid-body dynamics, kinematics, and basic flight and sensor mechanics. 
  • Familiarity with sensor and actuator modeling and integrating avionics or autonomy software within simulation.
  • Working knowledge of Python for data analysis, test automation, or simulation orchestration.  
  • Ability to debug complex build and runtime environments (CMake, CPM, dependency management, logging, profiling tools). 
  • Strong collaboration and communication skills across software, hardware, and systems disciplines. 

About Shield AI

Shield AI

Shield AI is a defense technology company building autonomous AI systems for aircraft, drones, and intelligent mission software used in complex military environments. Founded in 2015, the company is best known for developing Hivemind, an AI pilot system that enables aircraft and drones to operate autonomously in contested and GPS-denied environments, supporting U.S. and allied defense missions.

For job seekers, Shield AI offers opportunities across advanced fields including artificial intelligence, robotics, software engineering, autonomy systems, aerospace engineering, embedded systems, and mission operations. The company is especially attractive to engineers, AI researchers, and defense professionals who want to work on real-world autonomous systems that are actively being deployed in operational military scenarios.

Unlike traditional defense contractors, Shield AI operates with a startup-style engineering culture focused on rapid experimentation, real-world testing, and fast deployment of autonomous capabilities. Employees work on tightly integrated AI and robotics systems that combine perception, decision-making, and control, enabling platforms to operate without direct human input in highly complex environments.

As modern warfare increasingly shifts toward autonomous systems, distributed sensing, and AI-enabled decision-making, Shield AI continues to grow as one of the most prominent companies in next-generation defense technology. For professionals seeking to build cutting-edge autonomy systems with direct mission impact, Shield AI stands out as a leading employer in the defense innovation ecosystem.

Go to company profile