Air Dominance & Strike - Navigation Engineer

Overview

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. Anduril is changing how military systems are designed, built and sold, with Lattice OS providing real-time, 3D command and control from thousands of data streams. Anduril brings cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

Job Description: Anduril seeks a skilled Navigation Engineer with experience applying navigation and estimation techniques to autonomous vehicles. Expertise in low-cost sensor considerations and robotics-focused pose localization techniques is advantageous. This role emphasizes the implementation of Inertial Navigation Systems (INS) while leveraging sensor fusion algorithms and pose estimation methods for precise navigation of aerospace vehicles.

WHAT YOU’LL DO

• Analyze and help develop mission requirements and constraints across the Anduril product portfolio to determine optimal navigation system architecture
• Support and drive the evaluation and integration of advanced alternative navigation aiding sources (prepare, support, and conduct lab, motion, and flight tests)
• Support flight testing to measure & validate navigation performance relative to mission requirements and troubleshoot testing and operational anomalies
• Perform trade studies, modeling, simulation and other forms of analysis to validate algorithm accuracy, robustness, and performance
• Conduct simulation and testing for validation of navigation algorithms and system performance
• Collect and analyze platform telemetry data to validate platform operation and performance
• Support the design, development, integration and testing of an inertial navigation systems (INS) for aerospace vehicles (UAS, spacecraft, missiles, etc.)
• Use and update Anduril's existing navigation models and simulations to predict navigation performance
• Support and drive the development of algorithms for navigation, guidance, and control systems, including extended Kalman filters and other estimation methods using various programming languages
• Support and drive the development of advanced sensor fusion algorithms leveraging INS, GNSS, cameras, LiDAR, and other sensors for highly precise navigation in complex aerospace environments
• Apply covariance analysis techniques for early requirements derivation, as well as to optimize navigation system performance, error modeling, and system uncertainty assessments
• Improve calibration procedures for sensor suites used in aerospace navigation systems
• Collaborate with multidisciplinary teams to integrate navigation solutions into overall flight systems

REQUIRED QUALIFICATIONS:

• Bachelor's or Master’s degree in Aerospace Engineering, Electrical Engineering, or a related field
• 2 or more years of experience in Guidance, Navigation & Control engineering or related technical experience
• Proficiency in MATLAB & Simulink, C/C++
• Strong knowledge of navigation principles, including inertial navigation, GPS
• Experience with technologies such as vision-based solutions and star trackers is a plus
• Experience with navigation system design, development and testing on aerospace systems
• Expertise in Kalman filtering, Extended Kalman filtering, and other estimation techniques
• Experience with real-time systems and embedded software development is a plus
• Knowledge of sensor fusion and data integration techniques
• Demonstrated expertise in covariance analysis methodologies and transfer alignment techniques
• Strong problem-solving and analytical skills
• General knowledge of guidance and flight control systems is a plus
• Experience applying covariance analysis techniques to optimize navigation system performance, error modeling, and system uncertainty assessments
• Must be able to obtain and maintain eligibility for access to a U.S. Top Secret material

PREFERRED QUALIFICATIONS:

• Autonomous air, ground or undersea vehicle navigation experience, focusing on low-cost sensors
• Adapt and apply real-time pose localization algorithms from robotics to enhance the accuracy and robustness of vehicle navigation where applicable
• Current eligibility at the Top…