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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 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 Staff Simulation Engineer, you will be dedicated to Shield AI’s next-generation aircraft program, adopting our existing infrastructure to advance new capabilities. You’ll design, build, and scale C++-based simulation tools that test and validate the full aircraft software stack—from autonomy to avionics—before it ever flies. 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.
Integrate core physics, dynamics, and system models (aerodynamics, propulsion, controls) into a unified simulation environment.
Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.
Develop infrastructure for CI integration, parallel simulation execution, and automated regression testing.
Profile, optimize, and validate C++ codebases for performance, determinism, and fidelity.
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.
Understanding of rigid-body dynamics, kinematics, and basic flight mechanics.
Familiarity with DevOps-integrated simulation workflows, including CI/CD and containerized environments.
Ability to debug complex build and runtime environments (CMake, dependency management, logging, profiling tools).
Strong collaboration and communication skills across software, hardware, and systems disciplines.
PREFERRED QUALIFICATIONS:
Experience with distributed or cloud-based simulation (e.g., cluster orchestration, Kubernetes).
Working knowledge of Python for data analysis, test automation, or simulation orchestration.
Familiarity with sensor and actuator modeling, and integrating avionics or autonomy software within simulation.
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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.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
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- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
