Remote Navigation Engineer

Summary

Join Wing's Guidance, Navigation, and Control team as a Navigation Engineer to create reliable advanced autonomy algorithms for aerospace systems.

Requirements

• MS, PhD degree or equivalent practical experience in Aerospace, Robotics, Mechanical Engineering, or a related field
• 2 years of experience (in industry or academia) working on multi-sensor fusion navigation systems for aerospace systems, including GNSS/INS integration
• Expertise in Kalman Filtering and other estimation methods
• Experience in estimation, dynamics, controls, and/or simulation
• Development experience in a numerical computing environment such as MATLAB, python, or similar

Responsibilities

• Create innovative and reliable navigation solutions for our fleet of autonomous aircraft
• Conduct trade studies for sensor and algorithm selection
• Analyze and evaluate various sensor modalities, including GNSS/INS, in both real-world and simulated environments
• Perform system integration activities of sensor hardware into avionics and understand impacts of sensor configurations on an integrated navigation solution on overall delivery system performance
• Develop filtering solutions, such as Kalman Filters and other linear and non-linear filters, to fuse information from a variety of sensor technologies
• Have ownership and cognisance of systems throughout the entire life-cycle: concept, design, implementation, lab and flight testing and evaluation, fielding, and support
• Engage with experts in Computer Vision and Perception techniques, both classical and machine-learning-based, to include navigation information from these systems into the overall navigation solution
• Contribute to building the testing and analysis infrastructure required to validate these solutions and continuously monitor their performance, including both hardware and software test setups
• Participate in the team's processes, including: requirements and design documentation, test-plan generation and execution, peer design and code reviews, and process feedback and improvements