Applied Intuition - Senior GNC Engineer
Requirements
• 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 C++ • Experience developing or implementing outer-loop control systems or path planning algorithms • Strong foundation in control theory, dynamics, and optimization, with experience applying them to real-world autonomous systems • 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 PX4 and Ardupilot • Strong functional, procedural, data-oriented, and object-oriented programming experience • General willingness to travel for company business between our offices, as well as to customer sites • Must have ability to hold UK Security Clearance (current or previous preferred) • 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 • Experience working projects related to national security for one or more government agencies • References who will describe them as low-ego, highly motivated, thoughtfully opinionated, strong communicators and curious listeners • 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.
Responsibilities
• Write software that operates real autonomous aircraft systems including 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 3rd party UAS vehicle vendors to develop and integrate aerial autonomy software onto OEM hardware
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