Shield AI
aerospace
StaffEngineer,XBATDevOps
Neural analysis suggests this role is
optimal for Lead candidates.
“Staff Engineer, XBAT DevOps at Shield AI. Skills: C++ simulation tools, simulation frameworks, deterministic simulation, CI/CD integration, performance optimization. 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”
What You'll Achieve.
make AI fly—safely, repeatably, and fast; enable developers to test faster; enable system engineers to evaluate performance earlier; enable release engineers to ship with confidence
Industry & Context.
What They're Looking For.
Must Have
BS or MS in Computer Science, Aerospace, Robotics, or related field, 5+ years of experience in software development, modern C++ (C++17 or later), performance optimization, developing or integrating simulation systems for robotics, aerospace, or autonomous systems, real-time and deterministic software design, multi-threading, synchronization, memory management, rigid-body dynamics, kinematics, basic flight mechanics, DevOps-integrated simulation workflows, CI/CD, containerized environments, debug complex build and runtime environments, CMake, dependency management, logging, profiling tools, collaboration and communication skills across software, hardware, and systems disciplines
Nice to Have
distributed or cloud-based simulation, cluster orchestration, Kubernetes, Python for data analysis, test automation, or simulation orchestration, sensor and actuator modeling, integrating avionics or autonomy software within simulation
What You'll Do.
Build and scale simulation frameworks for integrated testing of autonomy
and embedded systems in C++
high-performance simulation tools capable of faster-than-real-time execution
Integrate core physics
and system models (aerodynamics
controls) into a unified simulation environment
Develop infrastructure for CI integration
parallel simulation execution
and automated regression testing
and validate C++ codebases for performance
Contribute to architecture decisions that define the next generation of aircraft simulation tools
Mentor engineers and guide best practices in C++
simulation architecture
and performance engineering
How You'll Work.
Team & Collaboration
Collaborate across autonomy, embedded, GNC, and test engineering; collaboration and communication skills across software, hardware, and systems disciplines
Communication Scope
communication skills across software, hardware, and systems disciplines
Full Job Description
## Description 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 per
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