Shield AI
Overview
Staff Software Engineer, Simulation (R3249) — Shield AI is a venture-backed deep-tech company founded in 2015. Its mission is to protect service members and civilians with intelligent systems. Shield AI’s products include the V-BAT aircraft, Hivemind Enterprise, and Hivemind Vision. The Aircraft Software Test & Automation team focuses on testing complex aircraft software across vehicles and hardware systems, working with Embedded, GNC (Guidance, Navigation & Controls), and System Test teams to enable rigorous and scalable testing and robust development infrastructure for aircraft software. Shield AI is building autonomous aircraft technologies and this team provides the complex testing and innovative capabilities required to get there. What you’ll do
Design, develop, and optimize high-performance simulation frameworks. Align needs and priorities across many teams and disciplines. Manage and lead a small team of specialized simulation engineers in multiple locations. Collaborate with cross-functional teams, including software engineers, autonomy engineers, and aerodynamics engineers, to ensure simulations reflect real-world conditions. Integrate basic physics principles into simulations to enhance realism and accuracy. Conduct testing and validation of simulation frameworks to ensure performance and reliability. Stay updated with the latest advancements in simulation technologies and apply them to our systems. Required qualifications
BS in Computer Science or related engineering field with 8+ years of professional experience. 2+ years of experience leading engineering teams or projects. Passion for simulation and testing with the goal of ensuring safety and reliability at scale. Experience building simulation within DevOps environments and with DevOps tools and infrastructure. Interest in aerospace and autonomous vehicles. Strong foundation in modern C++, including memory management, performance optimization, and debugging. Experience with robotics concepts, including node-based architectures such as ROS or similar middleware frameworks. Foundational knowledge of statistics and its application in software development, testing, and data analysis. Experience building and compiling code in complex software environments, including debugging build errors and managing dependencies. Solid understanding of mathematics (especially linear algebra) and foundational physics, with the ability to interpret technical papers and algorithms. Eagerness to learn, adapt, and grow in a collaborative team environment with proactive problem-solving and communication. Preferred qualifications
Experience with Docker, Kubernetes, and/or containerized application development. Familiarity with rigid body dynamics (e.g., Euler’s equations, quaternions), aerodynamics, propulsion systems, etc. Experience with Python 3 and data science frameworks (e.g., NumPy, Pandas, Dagster). Experience with robotics concepts, including node-based architectures such as ROS or similar middleware frameworks. Compensation and benefits
$158,000 - $235,000 a year. Pay within range listed plus bonus, benefits, and equity. Offers depend on role and location; background checks may apply. Military fellows and part-time employees are not eligible for benefits. Salary compensation is influenced by a wide array of factors including skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Speak with a talent acquisition representative for more information. Equal opportunity employer
Shield AI is proud to be an equal opportunity workplace and 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.
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Staff Software Engineer, Simulation (R3249) — Shield AI is a venture-backed deep-tech company founded in 2015. Its mission is to protect service members and civilians with intelligent systems. Shield AI’s products include the V-BAT aircraft, Hivemind Enterprise, and Hivemind Vision. The Aircraft Software Test & Automation team focuses on testing complex aircraft software across vehicles and hardware systems, working with Embedded, GNC (Guidance, Navigation & Controls), and System Test teams to enable rigorous and scalable testing and robust development infrastructure for aircraft software. Shield AI is building autonomous aircraft technologies and this team provides the complex testing and innovative capabilities required to get there. What you’ll do
Design, develop, and optimize high-performance simulation frameworks. Align needs and priorities across many teams and disciplines. Manage and lead a small team of specialized simulation engineers in multiple locations. Collaborate with cross-functional teams, including software engineers, autonomy engineers, and aerodynamics engineers, to ensure simulations reflect real-world conditions. Integrate basic physics principles into simulations to enhance realism and accuracy. Conduct testing and validation of simulation frameworks to ensure performance and reliability. Stay updated with the latest advancements in simulation technologies and apply them to our systems. Required qualifications
BS in Computer Science or related engineering field with 8+ years of professional experience. 2+ years of experience leading engineering teams or projects. Passion for simulation and testing with the goal of ensuring safety and reliability at scale. Experience building simulation within DevOps environments and with DevOps tools and infrastructure. Interest in aerospace and autonomous vehicles. Strong foundation in modern C++, including memory management, performance optimization, and debugging. Experience with robotics concepts, including node-based architectures such as ROS or similar middleware frameworks. Foundational knowledge of statistics and its application in software development, testing, and data analysis. Experience building and compiling code in complex software environments, including debugging build errors and managing dependencies. Solid understanding of mathematics (especially linear algebra) and foundational physics, with the ability to interpret technical papers and algorithms. Eagerness to learn, adapt, and grow in a collaborative team environment with proactive problem-solving and communication. Preferred qualifications
Experience with Docker, Kubernetes, and/or containerized application development. Familiarity with rigid body dynamics (e.g., Euler’s equations, quaternions), aerodynamics, propulsion systems, etc. Experience with Python 3 and data science frameworks (e.g., NumPy, Pandas, Dagster). Experience with robotics concepts, including node-based architectures such as ROS or similar middleware frameworks. Compensation and benefits
$158,000 - $235,000 a year. Pay within range listed plus bonus, benefits, and equity. Offers depend on role and location; background checks may apply. Military fellows and part-time employees are not eligible for benefits. Salary compensation is influenced by a wide array of factors including skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Speak with a talent acquisition representative for more information. Equal opportunity employer
Shield AI is proud to be an equal opportunity workplace and 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.
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