GNC Engineer

Applied Intuition Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive defense trucking construction mining and agriculture industries in three core areas: tools and infrastructure operating systems and autonomy.

Eighteen of the top 20 global automakers as well as the United States military and its allies trust the companys solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale California with offices in Washington D.C.;
San Diego;
Ft. Walton Beach Florida;
Ann Arbor Michigan;
London;
Stuttgart;
Munich;
Stockholm;
Bangalore;
Seoul; and Tokyo. Learn more at .

We are an in-office company and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work starting the day with morning meetings from home before heading to the office or leaving earlier when needed to accommodate family commitments.

This in-office expectation does not apply to contractor positions

About Applied Intuition Defence

Applied Intuition UK is a software and infrastructure supplier that accelerates the deployment of next-generation autonomous capabilities to the warfighter across air land sea and space. A subsidiary of Applied Intuition we deliver dual-use solutions to national security customers that build upon several years of product development and experience from commercial autonomy programs. Based in London our seasoned defence team hails from Palantir Anduril SpaceX Google Lockheed Martin and the UK and US Armed Services.

Learn more at .

About the role

As a Guidance Navigation & Control Engineer at Applied youll be at the forefront of defense aerial autonomy. Youll design integrate and rigorously test core flight autonomy capabilities across the full range of aerial UAS platforms from agile quad rotors to long-range fixed wings. Partnering with teams across the company youll create and adapt GNC algorithms to the unique requirements of each program contributing directly to our core software stack so your work becomes a reusable capability that powers every program not just one.

The mission is bold and the stakes are real: youll be engineering the systems that give our military an unmatched edge in the skies.

• 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

• Masters 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 3
  
  DoF or 6
  
  DoF 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

Travel Requirements:

• General willingness to travel for company business between our offices as well as to customer sites

Security Requirements:

• 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 Dev Ops Containers Linux

• Familiarity with software-in-the-loop (SIL) and hardware-in-the-loop (HIL) development and testing

• Experience with Bazel

• 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

Dont meet every single requirement If youre excited about this role but your past experience doesnt align perfectly with every qualification in the job description we encourage you to apply anyway. You may be just the right…