Applied Intuition

GNC Engineer (Guidance, Navigation & Control)

Applied Intuition$120K — $145K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Aerospace, Robotics, Electrical Engineering, Mechanical Engineering, Computer Science or similar field
  • 6+ years in developing GNC software for autonomous systems
  • Proficiency in C++ or Python for autonomy algorithm development
  • Experience with outer-loop control systems or path planning algorithms
  • Experience in 3DoF or 6DoF modeling for air vehicles
  • Flight testing and data analysis expertise
  • Familiarity with UAS GNC/navigation systems like PixHawk or Ardupilot

Responsibilities

  • Develop core flight autonomy capabilities for aerial platforms
  • Write software for real autonomous aircraft systems
  • Enhance aerial autonomy software architectures for military missions
  • Collaborate with DoD experts and UAS vendors on software integration
  • Test and deploy algorithms on actual systems

Benefits

  • Opportunity to work on cutting-edge military technology
  • Collaboration with defense and commercial experts
  • Engagement in impactful and innovative projects
  • Potential for career advancement in a high-demand field
  • Flexibility to work on diverse aerial platforms
Full Job Description
About the role

As a Guidance, Navigation & Control Engineer at Applied, your role is pivotal. Your work will involve developing, integrating, and testing core flight autonomy capabilities that span all classes of aerial platforms (Group 1-5). You'll work closely with teams across the entire company to integrate core GNC algorithms into their software and product stacks, supporting applications in both commercial and defense spaces. The challenge is profound, and the rewards are immeasurable, as you build superior systems that empower our military with unrivaled capabilities.

At Applied, you will:
  • Write software that operates real autonomous aircraft systems including F16 fighter jets, group 1-5 unmanned aerial vehicles (UAVs), as well as simulated models to accomplish tactical military missions
  • Build, leverage, and improve aerial autonomy software architectures that are ultimately tested and deployed on real systems to accomplish military missions
  • Collaborate with DoD warfighter domain experts and 3rd party UAS vehicle vendors to develop and integrate aerial autonomy software onto OEM hardware
We're looking for someone who has:
  • Master's degree in Aerospace, Robotics, Electrical Engineering, Mechanical Engineering, Computer Science or similar field
  • 6+ years of hands-on experience developing GNC software for autonomous systems
  • Experience developing autonomy algorithms in either C++ or Python
  • Experience developing or implementing outer-loop control systems or path planning algorithms
  • Experience developing and simulating 3DoF or 6DoF models of air vehicles to support GNC algorithm development
  • Experience with flight testing and performing data analysis
  • Experience with UAS GNC/navigation systems such as PixHawk and Ardupilot
  • Strong functional, procedural, data-oriented, and object-oriented programming experience
  • Experience using git, Visual Studio Code, GitLab

Travel Requirements:
  • Must be willing to travel as projects requires; estimated average travel is once every other month for between 2 days up to 1 week (~20%)

Security Requirements:
  • Must be a U.S. Citizen
  • Must hold or be eligible for a U.S. Secret security clearance
Nice to have:
  • Ability to use data visualization and debugging tools to support autonomy control development
  • Experience developing in Docker and containerized development environments, using Linux-based operating systems (e.g., RHEL, Ubuntu), source control systems, and artifact registries
  • Understanding of key technologies: C++, Python, DevOps, Containers, Linux
  • Familiarity with software-in-the-loop (SIL) and hardware-in-the-loop (HIL) development and testing

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

About Applied Intuition

Applied Intuition is a software company that provides a simulation platform for autonomous vehicles. The platform allows developers to test and validate their autonomous vehicle software in a virtual environment before deploying it on real vehicles. Applied Intuition was founded in 2017 and is headquartered in Mountain View, California.
Learn more about Applied Intuition
Size
200 employees
Industry
Founded
2017

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