JOB DESCRIPTION:
The Software Integration & Operations (SIO) group turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline—deterministic aircraft and mission simulation, HIL/VIL integration, CI/CD, automated flight qualification testing, and release engineering. Our goal is simple: make AI fly—safely, repeatably, and fast.
As a Modeling & Simulation Engineer, you will be dedicated to Shield AI’s next-generation aircraft program, contributing to our modeling and simulation tools and pipeline. You’ll design, build, and scale novel aircraft subsystem models, payload models, and test infrastructure for our XBAT product line. You will also conduct system performance analysis to evaluate expected and actual flight and mission performance using simulation tools and publish results for consumption by customers.
#LI-SM1
What You'll Do
Develop models and infrastructure for the integrated simulation pipeline in C++. Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release. Implement test scenarios and write unit, system, and regression tests. Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios. Contribute to platform-agnostic simulation tooling to accelerate future development efforts Perform verification and validation (V&V) analysis activities on model tools. Conduct system performance analysis and generate reports and visualizations. Utilize best practices in C++, simulation architecture, and performance engineering.
Required Qualifications
BS or MS in Computer Science, Aerospace, Robotics, or related field. 2+ years of experience in software development, with emphasis on modern C++ (C++17 or later) and performance optimization. Strong understanding of rigid-body dynamics, kinematics, and basic flight and sensor mechanics. Proven experience developing or integrating simulation systems for robotics, aerospace, or autonomous systems. Ability to debug complex build and runtime environments (CMake, CPM, dependency management, logging, profiling tools).
Preferred Qualifications
Experience with software testing tools (GTest, etc.) Experience with model V&V. Strong collaboration and communication skills across software, hardware, and systems disciplines. 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. Working knowledge of Python for data analysis, test automation, or simulation orchestration.