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Metron

Autonomous Systems Software Engineer

Reston, VAmidAdded 2 days ago

About this role

Metron seeks an experienced Software Engineer to design algorithms, simulations, and visualization tools for autonomous robotics systems. You'll work on the full software lifecycle from concept to deployment, leading teams on cutting-edge prototype projects with direct impact on real-world robotic systems.

What you'll do

  • Design and develop algorithms and simulations for autonomous robotics applications
  • Create visualization tools for robotics systems and autonomous vehicle behavior
  • Develop plugins and extensions using Gazebo simulation software
  • Lead project teams through concept, design, and demonstration phases
  • Write maintainable, extensible code with performance optimization and complexity analysis
  • Integrate innovative solutions from mathematics, physics, and engineering domains

What they're looking for

  • C++ programming (C++17 or later preferred)
  • Gazebo simulation software and plugin development
  • Algorithm design and complexity analysis
  • Multithreading and performance optimization
  • Vehicle motion modeling (boats, submarines, aerial vehicles)
  • Software validation and testing
  • Linear algebra and probability/statistics
  • Data analytics and algorithm integration

Benefits

  • Medical, dental, and vision insurance
  • FSA and HSA options
  • Employee-owned company structure
  • Opportunity to work on national security challenges
  • Collaborative environment with technical experts
  • Career development with flexible team roles
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Metron

Metron develops advanced software solutions and systems for national security challenges, including cloud-based planning platforms, autonomous robotics algorithms, and network infrastructure. The company is hiring Software Engineers, Network Engineers, and Autonomous Systems Software Engineers to build and maintain complex systems across multiple locations.

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Likely interview questions

  • Tell us about your experience developing Gazebo plugins and which versions you've worked with.
  • Walk through a complex algorithm you've optimized for performance; how did you approach the analysis?
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