Flight Control Law Engineer - Maneuver Dominance

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE TEAM

The Maneuver Dominance team at Anduril develops operationally relevant, multi-asset autonomy. We are focused on making large groups of autonomous systems work effectively together. We leverage existing Anduril drone platforms like Ghost or Altius, in addition to bringing 3rd party platforms into Anduril’s Lattice ecosystem.

ABOUT THE JOB

We are currently looking for highly skilled Flight Control Law Engineers with expertise in Multidisciplinary Design Analysis and Optimization (MDAO) to join our team. The successful candidate will play a pivotal role in developing, testing, and implementing GNC systems and architectures for our aerospace programs. This includes missiles, unmanned space and air vehicles, and related technology.

WHAT YOU'LL DO

• Design, implement, and optimize guidance, navigation, and control (GNC) systems, architectures, and algorithms, utilising MDAO techniques to balance performance, cost, and risk across various flight systems.
• Participate in all phases of system development, from concept to design, prototyping, testing, and operation.
• Collaborate closely with a multidisciplinary team including systems engineers, flight software engineers, mission autonomy engineers, and test engineers to ensure system-wide integration and performance.
• Lead and contribute to design reviews, safety assessments, and system documentation.
• Use simulation and analysis tools to verify GNC models and system performance under different operating conditions.
• Troubleshoot and resolve issues related to GNC systems during design, testing, and operational phases.
• Provide technical leadership on the field of flight physics and flight dynamics with a longer term view to grow this team.

REQUIRED QUALIFICATIONS

• BS in Robotics, Computer Science, Electrical, Mechanical, Mechatronics, Aerospace Engineering or related field with focus on dynamics and control.
• A strong theoretical knowledge of classical and modern control theory, estimation, and filtering techniques.
• Exceptional understanding of flight dynamics (VTOL and CTOL).
• Proven experience in developing, integrating, and troubleshooting GNC solutions and linear analysis tools for flight systems.
• Excellent communication skills and the ability to manage stakeholder relationships effectively.
• Proficiency with GNC simulation tools like MATLAB, Simulink, and related toolboxes.
• Direct experience with autonomous flight systems, particularly rotorcraft or large UAS integration, ADS-33 and frequency domain design and analysis methodologies.
• Familiarization with 6-DOF simulations.
• Excellent verbal and written communication skills.
• Ability to travel up to 25%.
• Must be eligible to obtain and maintain a UK security clearance.

PREFERRED QUALIFICATIONS

• A Ph.D. in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or a related field is a plus.
• Strong understanding of certification process of flight controls, astrodynamics, flight mechanics, orbital mechanics, and related physics.
• Practical experience developing GNC designs for navigation sources management in contested airspace.
• Extensive experience in GNC system and architecture development and testing, preferably in the aerospace industry.
• Experience writing code in C/C++ or Rust from Simulink models.
• Proven experience in applying MDAO methods and tools in the design of complex systems.
• Experience using MDAO frameworks such as OpenMDAO, ModelCenter, or modeFRONTIER.
• Proficiency in programming languages commonly used in trajectory optimization, such as MATLAB, Python, Julia or C++.
• Experience with optimization libraries (e.g., GPOPS-ii, DIDO, Dymos, CasADi, or IPOPT) is preferred.
• Strong analytical, problem-solving, and decision-making skills.
• Ability to work independently and in a team-oriented, collaborative environment.
• Familiarity with agile and Lean product development methodologies such as Scrum.
• Experience using Jira, Git, GitHub, or GitLab.
• Understanding of and compliance with industry, safety, and quality standards appropriate for the application.