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Software Simulation Lead (R3249)

Shield AI

Salary not specified
Aug 15, 2025
• Boston, MA, US
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Shield AI is looking to improve and scale its simulation capabilities for aircraft software to ensure rigorous, fast testing and provide an advanced, robust development & test infrastructure.

Requirements

  • Experience building simulation within DevOps environments in addition to experince with DevOps tools and infrastructure.
  • Strong foundation in modern C++, including a deep understanding of 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 effectively.
  • Experience with Docker, Kubernetes, and/or containerised application development

Responsibilities

  • Design, develop, and optimize high-performance simulation frameworks.
  • Manager and lead a small team of specialized simulation engineer in multiple locations.
  • Collaborate with cross-functional teams, including software engineers, autonomy engineers, and aerodynamics engineers, to ensure the simulation accurately reflects 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.

Other

  • Align needs and priorities across many teams and disciplines
  • Passion for simulation and testing with the goal of ensuring safety and reliability at scale.
  • Interest in aerospace and autonomous vehicles.
  • Eagerness to learn, adapt, and grow in a collaborative team environment, with a proactive approach to problem-solving and communication.
  • BS in Computer Science or related engineering field with 8+ years of professional experience.