Develop and scale high-performance, deterministic aircraft subsystem models and simulation tooling in C++. Build infrastructure for automated testing (HITL/SITL, CI/CD), implement unit/system/regression tests, perform model verification and validation, analyze system performance, and collaborate with autonomy, embedded, GNC, and test teams to ensure simulation fidelity to real aircraft.
Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
JOB DESCRIPTION:
The Aircraft Simulation team turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline—deterministic aircraft and mission simulation, HITL/SITL integration, CI/CD, and tooling for automated flight qualification testing. Our goal is simple: make AI fly—safely, reliably, and fast.
As a Senior Modeling & Simulation Engineer, you will be dedicated to Shield AI’s next-generation aircraft program, contributing to our modeling and simulation tooling pipeline. You’ll design, build, and scale novel aircraft subsystem models, develop infrastructure that enables automated testing for our XBAT product line, and perform verification and validation of simulation pipelines. 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.
The Aircraft Simulation team turns frontier autonomy into mission-ready aircraft. We own the commit-to-flight pipeline—deterministic aircraft and mission simulation, HITL/SITL integration, CI/CD, and tooling for automated flight qualification testing. Our goal is simple: make AI fly—safely, reliably, and fast.
As a Senior Modeling & Simulation Engineer, you will be dedicated to Shield AI’s next-generation aircraft program, contributing to our modeling and simulation tooling pipeline. You’ll design, build, and scale novel aircraft subsystem models, develop infrastructure that enables automated testing for our XBAT product line, and perform verification and validation of simulation pipelines. 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.
- 5+ 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, package management, logging, & profiling tools).
- Experience with software testing tools (GTest, etc.)
- Experience with model V&V.
- Strong collaboration and communication skills across software, hardware, and systems disciplines.
- Ability to obtain a S//SAR level security clearance desired.
Preferred Qualifications
- 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.
- Familiarity with aircraft and flight physics modeling.
#LI-SM1
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
###
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
Shield AI Boston, Massachusetts, USA Office
Boston, United States
Shield AI Waltham, Massachusetts, USA Office
500 Totten Pond Road, Waltham, MA, United States, 02451
Similar Jobs at Shield AI
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead system-level verification and validation of aircraft software by designing realistic mission test scenarios, managing V&V events to verify flight readiness, writing Python test analyzers, producing coverage and release-readiness reports, and improving simulation and fault-injection capabilities.
Top Skills:
C++Hardware EmulationPythonSimulation SoftwareTest Automation Frameworks
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead and contribute to design, analysis, and integration of launch/recovery mechanical systems from concept through production. Establish engineering standards, perform FMEA and reliability modeling, support testing and field operations, and manage a team of mechanical engineers while coordinating cross-functionally to ensure buildable, testable, and reliable designs.
Top Skills:
3D CadAbaqusAnsysAsmeAsme Y14.5AstmCadDfmFaaFatigue AnalysisFault Tree AnalysisFeaFmeaGd&TIsoMil-StdNastranNxThermal AnalysisTolerance Stack-Up
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead supplier development strategy and quality governance for mechanical hardware suppliers. Drive supplier capability, NPI readiness, root-cause investigations, performance monitoring, and cross-functional initiatives to improve cost, lead time, quality, and scalability.
Top Skills:
CatiaCompositesDfmFaiGd&TInjection MoldingPpapPrecision Mechanical FabricationSolidworks
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
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- 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
