Join Applied Intuition as a GNC Engineer to develop and test flight autonomy capabilities for military and commercial aerial platforms.
Posted by employer 4 weeks ago
First seen on Joblaze 1 month ago
Last verified on the company career page 2 hours ago
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In the role of Guidance, Navigation & Control Engineer at Applied Intuition, the individual will focus on developing and integrating software for autonomous aerial systems, including military applications. Key skills include proficiency in C++ or Python, experience with GNC algorithms, and a strong background in aerospace or robotics. This position is ideal for seasoned professionals with over six years of relevant experience, particularly those familiar with UAS navigation systems and flight testing. The company emphasizes collaboration across teams to enhance its cutting-edge technology in physical AI.
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Quick facts
From the original posting
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.
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
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
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.
Standard company text repeated across Applied Intuition's postings is omitted here.