AEVEX is looking for an experienced engineer to develop autonomous navigation solutions for GPS denied environments, merging state-of-the-art techniques from sensor fusion, computer vision, and PNT (Position, Navigation, and Timing) technologies. The algorithms will support real-time state estimation for autonomous platforms using data from various sensors.
Requirements
- Proficiency with sensor fusion algorithms (e.g., EKF, UKF, factor graphs, SLAM) and navigation concepts (inertial navigation, visual odometry, GPS-denied PNT).
- Advanced programming skills in C++, Python, and/or MATLAB, with familiarity in modern development workflows (Git, CI/CD).
- Familiarity with open-source navigation and SLAM frameworks (e.g., ORB-SLAM, VINS-Mono, GTSAM, Cartographer).
- Experience with computer vision and ML frameworks such as OpenCV, PyTorch, or TensorFlow.
- Experience with embedded systems, real-time computing, and deploying algorithms to fielded platforms.
- Experience with robotics middleware (ROS/ROS2) and simulation environments (Gazebo, CARLA).
- Strong problem-solving skills and ability to analyze large datasets from multi-sensor systems.
Responsibilities
- Design, implement, and deploy robust sensor fusion and state estimation algorithms for autonomous navigation in degraded GPS environments.
- Lead development of perception and localization systems that integrate data from vision, IMU, GNSS, and alternative navigation sensors.
- Develop and optimize algorithms for real-time performance on embedded and edge compute platforms (e.g., Jetson, FPGA, ARM SoCs).
- Perform simulation-based validation and hardware-in-the-loop testing using environments such as ROS, Gazebo, or CARLA.
- Drive research into emerging techniques, including deep learning for perception and SLAM, and assess applicability to navigation problems.
- Mentor junior engineers and contribute to project planning, code reviews, and system integration efforts.
- Interface with internal and external collaborators to support test campaigns, data collection, and field evaluations.
Other
- 5+ years of relevant industry or research experience in robotics, autonomous systems, or navigation algorithm development.
- Experience leading or significantly contributing to R&D projects involving autonomy or robotics.
- Background in aerospace, defense, or autonomous ground/aerial vehicle development.
- Ability to obtain/maintain a Secret DoD clearance, U.S. Citizenship required.
- Bachelor's Degree in computer Engineering, Robotics, Electrical Engineering, Aerospace Engineering, or a closely related field.
