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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.
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.
#LI-SM1
Shield AI Waltham, Massachusetts, USA Office
500 Totten Pond Road, Waltham, MA, United States, 02451
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
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