Education: Bachelor's degree or related field
Experience: 8+ years
We are seeking exceptional GNC Engineers with expertise in Navigation, Sensing, or PNT to join our team. The successful candidate will play a pivotal role in shaping the next generation of autonomous air power, advanced tactical missile systems, strategic weapons, and hypersonic strike and defense systems. As a key contributor, you will develop, test, and integrate navigation systems and architectures for subsonic, supersonic, and hypersonic autonomous systems, driving innovation in mission-critical capabilities.
- Lead navigation system design for one or more Anduril products, cradle-to-grave ownership.
- 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 and navigation stack 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 filters, models, and simulations to improve 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 accurate navigation in complex environments across subsea, surface, air, and space domains.
- 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 GNC, Flight Software, MSA, T&E, product leadership, and other multidisciplinary teams to integrate navigation software and hardware into real-world flight systems.
- Bachelor's or Master's degree in Aerospace Engineering, Electrical Engineering, Computer Science or a related field
- Strong bias for action, ability to thrive in uncertainty, and desire to closely collaborate cross-functionally with other teams
- Strong knowledge of navigation principles, including inertial navigation, GPS
- Experience characterizing, integrating, and testing inertial and non-inertial sensing modalities like INS, GNSS, vision-based, and odometry
- 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
- Experience optimizing and tuning navigation system performance, error modeling, and system uncertainty assessments, and requirements methods
- Must be eligible to obtain and maintain a U.S. Top Secret clearance
- 3 or more years of experience in Guidance, Navigation & Control engineering or related technical experience
- 8 or more years of experience in Guidance, Navigation & Control engineering or related technical experience
- Autonomous air, ground or undersea vehicle navigation experience, focusing on low-cost sensors
- Strong software (MATLAB, C/C++) and hardware (sensors, harnesses, PCB design) integration background, working with real-time systems is a big plus
- Experience adapting and applying real-time pose localization algorithms from robotics to enhance the accuracy and robustness of vehicle navigation where applicable
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